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34,904 | MGA trajectory planning with an ACO-inspired algorithm | cs.CE | Given a set of celestial bodies, the problem of finding an optimal sequence
of swing-bys, deep space manoeuvres (DSM) and transfer arcs connecting the
elements of the set is combinatorial in nature. The number of possible paths
grows exponentially with the number of celestial bodies. Therefore, the design
of an optimal... | computer science |
34,905 | Optimal impact strategies for asteroid deflection | math.OC | This paper presents an analysis of optimal impact strategies to deflect
potentially dangerous asteroids. To compute the increase in the minimum orbit
intersection distance of the asteroid due to an impact with a spacecraft,
simple analytical formulas are derived from proximal motion equations. The
proposed analytical f... | computer science |
34,906 | Complex Networks | cs.NE | Introduction to the Special Issue on Complex Networks, Artificial Life
journal. | computer science |
34,907 | Think Locally, Act Globally: Perfectly Balanced Graph Partitioning | cs.DS | We present a novel local improvement scheme for the perfectly balanced graph
partitioning problem. This scheme encodes local searches that are not
restricted to a balance constraint into a model allowing us to find
combinations of these searches maintaining balance by applying a negative cycle
detection algorithm. We c... | computer science |
34,908 | Reply to Comments on Neuroelectrodynamics: Where are the Real Conceptual
Pitfalls? | cs.NE | The fundamental, powerful process of computation in the brain has been widely
misunderstood. The paper [1] associates the general failure to build
intelligent thinking machines with current reductionist principles of temporal
coding and advocates for a change in paradigm regarding the brain analogy.
Since fragments of ... | computer science |
34,909 | Time After Time: Notes on Delays In Spiking Neural P Systems | cs.NE | Spiking Neural P systems, SNP systems for short, are biologically inspired
computing devices based on how neurons perform computations. SNP systems use
only one type of symbol, the spike, in the computations. Information is encoded
in the time differences of spikes or the multiplicity of spikes produced at
certain time... | computer science |
34,910 | A Self-Organized Neural Comparator | cs.NE | Learning algorithms need generally the possibility to compare several streams
of information. Neural learning architectures hence need a unit, a comparator,
able to compare several inputs encoding either internal or external
information, like for instance predictions and sensory readings. Without the
possibility of com... | computer science |
34,911 | More Bang For Your Buck: Quorum-Sensing Capabilities Improve the
Efficacy of Suicidal Altruism | cs.NE | Within the context of evolution, an altruistic act that benefits the
receiving individual at the expense of the acting individual is a puzzling
phenomenon. An extreme form of altruism can be found in colicinogenic E. coli.
These suicidal altruists explode, releasing colicins that kill unrelated
individuals, which are n... | computer science |
34,912 | Integration of a Predictive, Continuous Time Neural Network into
Securities Market Trading Operations | cs.CE | This paper describes recent development and test implementation of a
continuous time recurrent neural network that has been configured to predict
rates of change in securities. It presents outcomes in the context of popular
technical analysis indicators and highlights the potential impact of continuous
predictive capab... | computer science |
34,913 | A Flexible Fitness Function for Community Detection in Complex Networks | cs.NE | Most community detection algorithms from the literature work as optimization
tools that minimize a given \textit{fitness function}, while assuming that each
node belongs to a single community. Since there is no hard concept of what a
community is, most proposed fitness functions focus on a particular definition.
As suc... | computer science |
34,914 | Studying Collective Human Decision Making and Creativity with
Evolutionary Computation | cs.NE | We report a summary of our interdisciplinary research project "Evolutionary
Perspective on Collective Decision Making" that was conducted through close
collaboration between computational, organizational and social scientists at
Binghamton University. We redefined collective human decision making and
creativity as evol... | computer science |
34,915 | Roulette-wheel selection via stochastic acceptance | cs.NE | Roulette-wheel selection is a frequently used method in genetic and
evolutionary algorithms or in modeling of complex networks. Existing routines
select one of N individuals using search algorithms of O(N) or O(log(N))
complexity. We present a simple roulette-wheel selection algorithm, which
typically has O(1) complexi... | computer science |
34,916 | A KdV-like advection-dispersion equation with some remarkable properties | nlin.PS | We discuss a new non-linear PDE, u_t + (2 u_xx/u) u_x = epsilon u_xxx,
invariant under scaling of dependent variable and referred to here as SIdV. It
is one of the simplest such translation and space-time reflection-symmetric
first order advection-dispersion equations. This PDE (with dispersion
coefficient unity) was d... | computer science |
34,917 | Genetic agent approach for improving on-the-fly web map generalization | cs.MA | The utilization of web mapping becomes increasingly important in the domain
of cartography. Users want access to spatial data on the web specific to their
needs. For this reason, different approaches were appeared for generating
on-the-fly the maps demanded by users, but those not suffice for guide a
flexible and effic... | computer science |
34,918 | The evolutionary origins of modularity | cs.NE | A central biological question is how natural organisms are so evolvable
(capable of quickly adapting to new environments). A key driver of evolvability
is the widespread modularity of biological networks--their organization as
functional, sparsely connected subunits--but there is no consensus regarding
why modularity i... | computer science |
34,919 | Complex-network analysis of combinatorial spaces: The NK landscape case | cs.NE | We propose a network characterization of combinatorial fitness landscapes by
adapting the notion of inherent networks proposed for energy surfaces. We use
the well-known family of NK landscapes as an example. In our case the inherent
network is the graph whose vertices represent the local maxima in the
landscape, and t... | computer science |
34,920 | Quick HyperVolume | cs.DS | We present a new algorithm to calculate exact hypervolumes. Given a set of
$d$-dimensional points, it computes the hypervolume of the dominated space.
Determining this value is an important subroutine of Multiobjective
Evolutionary Algorithms (MOEAs). We analyze the "Quick Hypervolume" (QHV)
algorithm theoretically and... | computer science |
34,921 | Measuring the Complexity of Ultra-Large-Scale Adaptive Systems | cs.NE | Ultra-large scale (ULS) systems are becoming pervasive. They are inherently
complex, which makes their design and control a challenge for traditional
methods. Here we propose the design and analysis of ULS systems using measures
of complexity, emergence, self-organization, and homeostasis based on
information theory. T... | computer science |
34,922 | Genetic algorithms for finding the weight enumerator of binary linear
block codes | cs.IT | In this paper we present a new method for finding the weight enumerator of
binary linear block codes by using genetic algorithms. This method consists in
finding the binary weight enumerator of the code and its dual and to create
from the famous MacWilliams identity a linear system (S) of integer variables
for which we... | computer science |
34,923 | Inferring Fitness in Finite Populations with Moran-like dynamics | math.DS | Biological fitness is not an observable quantity and must be inferred from
population dynamics. Bayesian inference applied to the Moran process and
variants yields a robust inference method that can infer fitness in populations
evolving via a Moran dynamic and generalizations. Information about fitness is
derived solel... | computer science |
34,924 | Using evolutionary design to interactively sketch car silhouettes and
stimulate designer's creativity | cs.NE | An Interactive Genetic Algorithm is proposed to progressively sketch the
desired side-view of a car profile. It adopts a Fourier decomposition of a 2D
profile as the genotype, and proposes a cross-over mechanism. In addition, a
formula function of two genes' discrepancies is fitted to the perceived
dissimilarity betwee... | computer science |
34,925 | A Small Universal Petri Net | cs.FL | A universal deterministic inhibitor Petri net with 14 places, 29 transitions
and 138 arcs was constructed via simulation of Neary and Woods' weakly
universal Turing machine with 2 states and 4 symbols; the total time complexity
is exponential in the running time of their weak machine. To simulate the blank
words of the... | computer science |
34,926 | Parallel machine scheduling with step deteriorating jobs and setup times
by a hybrid discrete cuckoo search algorithm | math.OC | This article considers the parallel machine scheduling problem with
step-deteriorating jobs and sequence-dependent setup times. The objective is to
minimize the total tardiness by determining the allocation and sequence of jobs
on identical parallel machines. In this problem, the processing time of each
job is a step f... | computer science |
34,927 | Nano-scale reservoir computing | cs.ET | This work describes preliminary steps towards nano-scale reservoir computing
using quantum dots. Our research has focused on the development of an
accumulator-based sensing system that reacts to changes in the environment, as
well as the development of a software simulation. The investigated systems
generate nonlinear ... | computer science |
34,928 | Spike Synchronization Dynamics of Small-World Networks | cs.NE | In this research report, we examine the effects of small-world network
organization on spike synchronization dynamics in networks of Izhikevich
spiking units. We interpolate network organizations from regular ring lattices,
through the small-world region, to random networks, and measure global spike
synchronization dyn... | computer science |
34,929 | Semi-structured data extraction and modelling: the WIA Project | cs.SE | Over the last decades, the amount of data of all kinds available
electronically has increased dramatically. Data are accessible through a range
of interfaces including Web browsers, database query languages,
application-specific interfaces, built on top of a number of different data
exchange formats. All these data spa... | computer science |
34,930 | Signed Networks, Triadic Interactions and the Evolution of Cooperation | cs.SI | We outline a model to study the evolution of cooperation in a population of
agents playing the prisoner's dilemma in signed networks. We highlight that if
only dyadic interactions are taken into account, cooperation never evolves.
However, when triadic considerations are introduced, a window of opportunity
for emergenc... | computer science |
34,931 | Evolving Boolean Networks with RNA Editing | cs.NE | The editing of transcribed RNA by other molecules such that the form of the
final product differs from that specified in the corresponding DNA sequence is
ubiquitous. This paper uses an abstract, tunable Boolean genetic regulatory
network model to explore aspects of RNA editing. In particular, it is shown how
dynamical... | computer science |
34,932 | Stability of Analytic Neural Networks with Event-triggered Synaptic
Feedbacks | cs.NE | In this paper, we investigate stability of a class of analytic neural
networks with the synaptic feedback via event-triggered rules. This model is
general and include Hopfield neural network as a special case. These
event-trigger rules can efficiently reduces loads of computation and
information transmission at synapse... | computer science |
34,933 | Centralized and Decentralized Global Outer-synchronization of Asymmetric
Recurrent Time-varying Neural Network by Data-sampling | cs.NE | In this paper, we discuss the outer-synchronization of the asymmetrically
connected recurrent time-varying neural networks. By both centralized and
decentralized discretization data sampling principles, we derive several
sufficient conditions based on diverse vector norms that guarantee that any two
trajectories from d... | computer science |
34,934 | dMath: A Scalable Linear Algebra and Math Library for Heterogeneous
GP-GPU Architectures | cs.NE | A new scalable parallel math library, dMath, is presented in this paper that
demonstrates leading scaling when using intranode, or internode,
hybrid-parallelism for deep-learning. dMath provides easy-to-use distributed
base primitives and a variety of domain-specific algorithms. These include
matrix multiplication, con... | computer science |
34,935 | Solving Optimization Problems by the Public Goods Game | cs.GT | We introduce a method based on the Public Goods Game for solving optimization
tasks. In particular, we focus on the Traveling Salesman Problem, i.e. a
NP-hard problem whose search space exponentially grows increasing the number of
cities. The proposed method considers a population whose agents are provided
with a rando... | computer science |
34,936 | Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System | cs.NE | We present results from a new approach to learning and plasticity in
neuromorphic hardware systems: to enable flexibility in implementable learning
mechanisms while keeping high efficiency associated with neuromorphic
implementations, we combine a general-purpose processor with full-custom analog
elements.
This proce... | computer science |
34,937 | Modeling the Evolution of Gene-Culture Divergence | cs.NE | We present a model for evolving agents using both genetic and cultural
inheritance mechanisms. Within each agent our model maintains two distinct
information stores we call the genome and the memome. Processes of adaptation
are modeled as evolutionary processes at each level of adaptation
(phylogenetic, ontogenetic, so... | computer science |
34,938 | Resource Allocation of MU-OFDM Based Cognitive Radio Systems Under
Partial Channel State Information | cs.IT | This paper has been withdrawn by the author due to some errors. | computer science |
34,939 | Fitness Landscape Analysis for Dynamic Resource Allocation in Multiuser
OFDM Based Cognitive Radio Systems | cs.IT | This paper has been withdrawn. | computer science |
34,940 | MACS: An Agent-Based Memetic Multiobjective Optimization Algorithm
Applied to Space Trajectory Design | cs.CE | This paper presents an algorithm for multiobjective optimization that blends
together a number of heuristics. A population of agents combines heuristics
that aim at exploring the search space both globally and in a neighborhood of
each agent. These heuristics are complemented with a combination of a local and
global ar... | computer science |
34,941 | Evidence-Based Robust Design of Deflection Actions for Near Earth
Objects | cs.CE | This paper presents a novel approach to the robust design of deflection
actions for Near Earth Objects (NEO). In particular, the case of deflection by
means of Solar-pumped Laser ablation is studied here in detail. The basic idea
behind Laser ablation is that of inducing a sublimation of the NEO surface,
which produces... | computer science |
34,942 | A biological gradient descent for prediction through a combination of
STDP and homeostatic plasticity | cs.NE | Identifying, formalizing and combining biological mechanisms which implement
known brain functions, such as prediction, is a main aspect of current research
in theoretical neuroscience. In this letter, the mechanisms of Spike Timing
Dependent Plasticity (STDP) and homeostatic plasticity, combined in an original
mathema... | computer science |
34,943 | The evolution of representation in simple cognitive networks | cs.NE | Representations are internal models of the environment that can provide
guidance to a behaving agent, even in the absence of sensory information. It is
not clear how representations are developed and whether or not they are
necessary or even essential for intelligent behavior. We argue here that the
ability to represen... | computer science |
34,944 | Utilizing Static Analysis and Code Generation to Accelerate Neural
Networks | cs.NE | As datasets continue to grow, neural network (NN) applications are becoming
increasingly limited by both the amount of available computational power and
the ease of developing high-performance applications. Researchers often must
have expert systems knowledge to make their algorithms run efficiently.
Although available... | computer science |
34,945 | Piecewise Linear Topology, Evolutionary Algorithms, and Optimization
Problems | cs.NE | Schemata theory, Markov chains, and statistical mechanics have been used to
explain how evolutionary algorithms (EAs) work. Incremental success has been
achieved with all of these methods, but each has been stymied by limitations
related to its less-than-global view. We show that moving the investigation
into topologic... | computer science |
34,946 | From the decoding of cortical activities to the control of a JACO
robotic arm: a whole processing chain | cs.NE | This paper presents a complete processing chain for decoding intracranial
data recorded in the cortex of a monkey and replicates the associated movements
on a JACO robotic arm by Kinova. We developed specific modules inside the
OpenViBE platform in order to build a Brain-Machine Interface able to read the
data, compute... | computer science |
34,947 | Computational Capabilities of Random Automata Networks for Reservoir
Computing | nlin.AO | This paper underscores the conjecture that intrinsic computation is maximal
in systems at the "edge of chaos." We study the relationship between dynamics
and computational capability in Random Boolean Networks (RBN) for Reservoir
Computing (RC). RC is a computational paradigm in which a trained readout layer
interprets... | computer science |
34,948 | On The Delays In Spiking Neural P Systems | cs.NE | In this work we extend and improve the results done in a previous work on
simulating Spiking Neural P systems (SNP systems in short) with delays using
SNP systems without delays. We simulate the former with the latter over
sequential, iteration, join, and split routing. Our results provide
constructions so that both sy... | computer science |
34,949 | Pavlov's dog associative learning demonstrated on synaptic-like organic
transistors | cs.ET | In this letter, we present an original demonstration of an associative
learning neural network inspired by the famous Pavlov's dogs experiment. A
single nanoparticle organic memory field effect transistor (NOMFET) is used to
implement each synapse. We show how the physical properties of this dynamic
memristive device c... | computer science |
34,950 | Somoclu: An Efficient Parallel Library for Self-Organizing Maps | cs.DC | Somoclu is a massively parallel tool for training self-organizing maps on
large data sets written in C++. It builds on OpenMP for multicore execution,
and on MPI for distributing the workload across the nodes in a cluster. It is
also able to boost training by using CUDA if graphics processing units are
available. A spa... | computer science |
34,951 | Evolutionary optimization of an experimental apparatus | cs.NE | In recent decades, cold atom experiments have become increasingly complex.
While computers control most parameters, optimization is mostly done manually.
This is a time-consuming task for a high-dimensional parameter space with
unknown correlations. Here we automate this process using a genetic algorithm
based on Diffe... | computer science |
34,952 | A Genetic Algorithm to Optimize a Tweet for Retweetability | cs.NE | Twitter is a popular microblogging platform. When users send out messages,
other users have the ability to forward these messages to their own subgraph.
Most research focuses on increasing retweetability from a node's perspective.
Here, we center on improving message style to increase the chance of a message
being forw... | computer science |
34,953 | Cognitive Aging as Interplay between Hebbian Learning and Criticality | nlin.AO | Cognitive ageing seems to be a story of global degradation. As one ages there
are a number of physical, chemical and biological changes that take place.
Therefore it is logical to assume that the brain is no exception to this
phenomenon. The principle purpose of this project is to use models of neural
dynamics and lear... | computer science |
34,954 | Quantum Cybernetics and Complex Quantum Systems Science - A Quantum
Connectionist Exploration | cs.NE | Quantum cybernetics and its connections to complex quantum systems science is
addressed from the perspective of complex quantum computing systems. In this
way, the notion of an autonomous quantum computing system is introduced in
regards to quantum artificial intelligence, and applied to quantum artificial
neural netwo... | computer science |
34,955 | Does the D.C. Response of Memristors Allow Robotic Short-Term Memory and
a Possible Route to Artificial Time Perception? | cs.RO | Time perception is essential for task switching, and in the mammalian brain
appears alongside other processes. Memristors are electronic components used as
synapses and as models for neurons. The d.c. response of memristors can be
considered as a type of short-term memory. Interactions of the memristor d.c.
response wi... | computer science |
34,956 | Connecting Spiking Neurons to a Spiking Memristor Network Changes the
Memristor Dynamics | cs.ET | Memristors have been suggested as neuromorphic computing elements. Spike-time
dependent plasticity and the Hodgkin-Huxley model of the neuron have both been
modelled effectively by memristor theory. The d.c. response of the memristor is
a current spike. Based on these three facts we suggest that memristors are
well-pla... | computer science |
34,957 | Is Spiking Logic the Route to Memristor-Based Computers? | cs.ET | Memristors have been suggested as a novel route to neuromorphic computing
based on the similarity between neurons (synapses and ion pumps) and
memristors. The D.C. action of the memristor is a current spike, which we think
will be fruitful for building memristor computers. In this paper, we introduce
4 different logica... | computer science |
34,958 | The Cerebellum: New Computational Model that Reveals its Primary
Function to Calculate Multibody Dynamics Conform to Lagrange-Euler
Formulation | cs.NE | Cerebellum is part of the brain that occupies only 10% of the brain volume,
but it contains about 80% of total number of brain neurons. New cerebellar
function model is developed that sets cerebellar circuits in context of
multibody dynamics model computations, as important step in controlling balance
and movement coor... | computer science |
34,959 | Global solar irradiation prediction using a multi-gene genetic
programming approach | cs.NE | In this paper, a nonlinear symbolic regression technique using an
evolutionary algorithm known as multi-gene genetic programming (MGGP) is
applied for a data-driven modelling between the dependent and the independent
variables. The technique is applied for modelling the measured global solar
irradiation and validated t... | computer science |
34,960 | Continuous Features Discretization for Anomaly Intrusion Detectors
Generation | cs.NI | Network security is a growing issue, with the evolution of computer systems
and expansion of attacks. Biological systems have been inspiring scientists and
designs for new adaptive solutions, such as genetic algorithms. In this paper,
we present an approach that uses the genetic algorithm to generate anomaly net-
work ... | computer science |
34,961 | High-speed detection of emergent market clustering via an unsupervised
parallel genetic algorithm | cs.DC | We implement a master-slave parallel genetic algorithm (PGA) with a bespoke
log-likelihood fitness function to identify emergent clusters within price
evolutions. We use graphics processing units (GPUs) to implement a PGA and
visualise the results using disjoint minimal spanning trees (MSTs). We
demonstrate that our GP... | computer science |
34,962 | Swarm Intelligence Based Algorithms: A Critical Analysis | math.OC | Many optimization algorithms have been developed by drawing inspiration from
swarm intelligence (SI). These SI-based algorithms can have some advantages
over traditional algorithms. In this paper, we carry out a critical analysis of
these SI-based algorithms by analyzing their ways to mimic evolutionary
operators. We a... | computer science |
34,963 | True Global Optimality of the Pressure Vessel Design Problem: A
Benchmark for Bio-Inspired Optimisation Algorithms | math.OC | The pressure vessel design problem is a well-known design benchmark for
validating bio-inspired optimization algorithms. However, its global optimality
is not clear and there has been no mathematical proof put forward. In this
paper, a detailed mathematical analysis of this problem is provided that proves
that 6059.714... | computer science |
34,964 | Evaluation The Efficiency Of Cuckoo Optimization Algorithm | cs.NE | In this paper a new evolutionary algorithm, for continuous nonlinear
optimization problems, is surveyed. This method is inspired by the life of a
bird, called Cuckoo. The Cuckoo Optimization Algorithm (COA) is evaluated by
using the Rastrigin function. The problem is a non-linear continuous function
which is used for e... | computer science |
34,965 | Exploring the evolution of a trade-off between vigilance and foraging in
group-living organisms | cs.GT | Despite the fact that grouping behavior has been actively studied for over a
century, the relative importance of the numerous proposed fitness benefits of
grouping remain unclear. We use a digital model of evolving prey under
simulated predation to directly explore the evolution of gregarious foraging
behavior accordin... | computer science |
34,966 | Cuckoo Search: Recent Advances and Applications | math.OC | Cuckoo search (CS) is a relatively new algorithm, developed by Yang and Deb
in 2009, and CS is efficient in solving global optimization problems. In this
paper, we review the fundamental ideas of cuckoo search and the latest
developments as well as its applications. We analyze the algorithm and gain
insight into its se... | computer science |
34,967 | Applications and Analysis of Bio-Inspired Eagle Strategy for Engineering
Optimization | math.OC | All swarm-intelligence-based optimization algorithms use some stochastic
components to increase the diversity of solutions during the search process.
Such randomization is often represented in terms of random walks. However, it
is not yet clear why some randomization techniques (and thus why some
algorithms) may perfor... | computer science |
34,968 | Flower Pollination Algorithm: A Novel Approach for Multiobjective
Optimization | math.OC | Multiobjective design optimization problems require multiobjective
optimization techniques to solve, and it is often very challenging to obtain
high-quality Pareto fronts accurately. In this paper, the recently developed
flower pollination algorithm (FPA) is extended to solve multiobjective
optimization problems. The p... | computer science |
34,969 | Cuckoo Search: A Brief Literature Review | math.OC | Cuckoo search (CS) was introduced in 2009, and it has attracted great
attention due to its promising efficiency in solving many optimization problems
and real-world applications. In the last few years, many papers have been
published regarding cuckoo search, and the relevant literature has expanded
significantly. This ... | computer science |
34,970 | Recurrent Neural Network Based Hybrid Model of Gene Regulatory Network | cs.NE | Systems biology is an emerging interdisciplinary area of research that
focuses on study of complex interactions in a biological system, such as gene
regulatory networks. The discovery of gene regulatory networks leads to a wide
range of applications, such as pathways related to a disease that can unveil in
what way the... | computer science |
34,971 | Memcomputing and Swarm Intelligence | cs.NE | We explore the relation between memcomputing, namely computing with and in
memory, and swarm intelligence algorithms. In particular, we show that one can
design memristive networks to solve short-path optimization problems that can
also be solved by ant-colony algorithms. By employing appropriate memristive
elements on... | computer science |
34,972 | A Memcomputing Pascaline | cs.ET | The original Pascaline was a mechanical calculator able to sum and subtract
integers. It encodes information in the angles of mechanical wheels and through
a set of gears, and aided by gravity, could perform the calculations. Here, we
show that such a concept can be realized in electronics using memory elements
such as... | computer science |
34,973 | Using novelty-biased GA to sample diversity in graphs satisfying
constraints | cs.NE | The structure of the network underlying many complex systems, whether
artificial or natural, plays a significant role in how these systems operate.
As a result, much emphasis has been placed on accurately describing networks
using network theoretic metrics. When it comes to generating networks with
similar properties, ... | computer science |
34,974 | Modeling browser-based distributed evolutionary computation systems | cs.DC | From the era of big science we are back to the "do it yourself", where you do
not have any money to buy clusters or subscribe to grids but still have
algorithms that crave many computing nodes and need them to measure
scalability. Fortunately, this coincides with the era of big data, cloud
computing, and browsers that ... | computer science |
34,975 | Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing | cs.ET | For decades, advances in electronics were directly driven by the scaling of
CMOS transistors according to Moore's law. However, both the CMOS scaling and
the classical computer architecture are approaching fundamental and practical
limits, and new computing architectures based on emerging devices, such as
resistive ran... | computer science |
34,976 | An Artificial Neural Networks based Temperature Prediction Framework for
Network-on-Chip based Multicore Platform | cs.DC | Continuous improvement in silicon process technologies has made possible the
integration of hundreds of cores on a single chip. However, power and heat have
become dominant constraints in designing these massive multicore chips causing
issues with reliability, timing variations and reduced lifetime of the chips.
Dynami... | computer science |
34,977 | Scale-invariance of ruggedness measures in fractal fitness landscapes | nlin.CD | The paper deals with using chaos to direct trajectories to targets and
analyzes ruggedness and fractality of the resulting fitness landscapes. The
targeting problem is formulated as a dynamic fitness landscape and four
different chaotic maps generating such a landscape are studied. By using a
computational approach, we... | computer science |
34,978 | An evolutionary model with Turing machines | cs.NE | The development of a large non-coding fraction in eukaryotic DNA and the
phenomenon of the code-bloat in the field of evolutionary computations show a
striking similarity. This seems to suggest that (in the presence of mechanisms
of code growth) the evolution of a complex code can't be attained without
maintaining a la... | computer science |
34,979 | Biology-Derived Algorithms in Engineering Optimization | math.OC | Biology-derived algorithms are an important part of computational sciences,
which are essential to many scientific disciplines and engineering
applications. Many computational methods are derived from or based on the
analogy to natural evolution and biological activities, and these biologically
inspired computations in... | computer science |
34,980 | Computational Complexity Analysis of Simple Genetic Programming On Two
Problems Modeling Isolated Program Semantics | cs.NE | Analyzing the computational complexity of evolutionary algorithms for binary
search spaces has significantly increased their theoretical understanding. With
this paper, we start the computational complexity analysis of genetic
programming. We set up several simplified genetic programming algorithms and
analyze them on ... | computer science |
34,981 | Digital Ecosystems: Ecosystem-Oriented Architectures | cs.NI | We view Digital Ecosystems to be the digital counterparts of biological
ecosystems. Here, we are concerned with the creation of these Digital
Ecosystems, exploiting the self-organising properties of biological ecosystems
to evolve high-level software applications. Therefore, we created the Digital
Ecosystem, a novel op... | computer science |
34,982 | Evolutionary Hessian Learning: Forced Optimal Covariance Adaptive
Learning (FOCAL) | cs.NE | The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) has been the
most successful Evolution Strategy at exploiting covariance information; it
uses a form of Principle Component Analysis which, under certain conditions, is
suggested to converge to the correct covariance matrix, formulated as the
inverse of the m... | computer science |
34,983 | Evolution of sustained foraging in 3D environments with physics | cs.NE | Artificially evolving foraging behavior in simulated legged animals has
proved to be a notoriously difficult task. Here, we co-evolve the morphology
and controller for virtual organisms in a three-dimensional physically
realistic environment to produce goal-directed legged locomotion. We show that
following and reachin... | computer science |
34,984 | Quantum Control Experiments as a Testbed for Evolutionary
Multi-Objective Algorithms | cs.NE | Experimental multi-objective Quantum Control is an emerging topic within the
broad physics and chemistry applications domain of controlling quantum
phenomena. This realm offers cutting edge ultrafast laser laboratory
applications, which pose multiple objectives, noise, and possibly constraints
on the high-dimensional s... | computer science |
34,985 | Genetic Algorithm Modeling with GPU Parallel Computing Technology | cs.DC | We present a multi-purpose genetic algorithm, designed and implemented with
GPGPU / CUDA parallel computing technology. The model was derived from a
multi-core CPU serial implementation, named GAME, already scientifically
successfully tested and validated on astrophysical massive data classification
problems, through a... | computer science |
34,986 | Genetic braid optimization: A heuristic approach to compute
quasiparticle braids | cs.NE | In topologically-protected quantum computation, quantum gates can be carried
out by adiabatically braiding two-dimensional quasiparticles, reminiscent of
entangled world lines. Bonesteel et al. [Phys. Rev. Lett. 95, 140503 (2005)],
as well as Leijnse and Flensberg [Phys. Rev. B 86, 104511 (2012)] recently
provided sche... | computer science |
34,987 | Solving Traveling Salesman Problem by Marker Method | cs.NE | In this paper we use marker method and propose a new mutation operator that
selects the nearest neighbor among all near neighbors solving Traveling
Salesman Problem. | computer science |
34,988 | Memcapacitive neural networks | cs.ET | We show that memcapacitive (memory capacitive) systems can be used as
synapses in artificial neural networks. As an example of our approach, we
discuss the architecture of an integrate-and-fire neural network based on
memcapacitive synapses. Moreover, we demonstrate that the
spike-timing-dependent plasticity can be sim... | computer science |
34,989 | Short Term Memory Capacity in Networks via the Restricted Isometry
Property | cs.IT | Cortical networks are hypothesized to rely on transient network activity to
support short term memory (STM). In this paper we study the capacity of
randomly connected recurrent linear networks for performing STM when the input
signals are approximately sparse in some basis. We leverage results from
compressed sensing t... | computer science |
34,990 | Active causation and the origin of meaning | cs.NE | Purpose and meaning are necessary concepts for understanding mind and
culture, but appear to be absent from the physical world and are not part of
the explanatory framework of the natural sciences. Understanding how meaning
(in the broad sense of the term) could arise from a physical world has proven
to be a tough prob... | computer science |
34,991 | Risk aversion as an evolutionary adaptation | cs.GT | Risk aversion is a common behavior universal to humans and animals alike.
Economists have traditionally defined risk preferences by the curvature of the
utility function. Psychologists and behavioral economists also make use of
concepts such as loss aversion and probability weighting to model risk
aversion. Neurophysio... | computer science |
34,992 | Evolutionary perspectives on collective decision making: Studying the
implications of diversity and social network structure with agent-based
simulations | cs.MA | Collective, especially group-based, managerial decision making is crucial in
organizations. Using an evolutionary theory approach to collective decision
making, agent-based simulations were conducted to investigate how collective
decision making would be affected by the agents' diversity in problem
understanding and/or... | computer science |
34,993 | Brains and pseudorandom generators | math.DS | In a pioneering classic, Warren McCulloch and Walter Pitts proposed a model
of the central nervous system; motivated by EEG recordings of normal brain
activity, Chv\' atal and Goldsmith asked whether or not this model can be
engineered to provide pseudorandom number generators. We supply evidence
suggesting that the an... | computer science |
34,994 | Flower Pollination Algorithm for Global Optimization | math.OC | Flower pollination is an intriguing process in the natural world. Its
evolutionary characteristics can be used to design new optimization algorithms.
In this paper, we propose a new algorithm, namely, flower pollination
algorithm, inspired by the pollination process of flowers. We first use ten
test functions to valida... | computer science |
34,995 | Attractor Metadynamics in Adapting Neural Networks | cs.NE | Slow adaption processes, like synaptic and intrinsic plasticity, abound in
the brain and shape the landscape for the neural dynamics occurring on
substantially faster timescales. At any given time the network is characterized
by a set of internal parameters, which are adapting continuously, albeit
slowly. This set of p... | computer science |
34,996 | Characterization and Compensation of Network-Level Anomalies in
Mixed-Signal Neuromorphic Modeling Platforms | cs.NE | Advancing the size and complexity of neural network models leads to an ever
increasing demand for computational resources for their simulation.
Neuromorphic devices offer a number of advantages over conventional computing
architectures, such as high emulation speed or low power consumption, but this
usually comes at th... | computer science |
34,997 | Systematic Derivation of Behaviour Characterisations in Evolutionary
Robotics | cs.NE | Evolutionary techniques driven by behavioural diversity, such as novelty
search, have shown significant potential in evolutionary robotics. These
techniques rely on priorly specified behaviour characterisations to estimate
the similarity between individuals. Characterisations are typically defined in
an ad hoc manner b... | computer science |
34,998 | Motor Learning Mechanism on the Neuron Scale | cs.NE | Based on existing data, we wish to put forward a biological model of motor
system on the neuron scale. Then we indicate its implications in statistics and
learning. Specifically, neuron firing frequency and synaptic strength are
probability estimates in essence. And the lateral inhibition also has
statistical implicati... | computer science |
34,999 | Population fluctuation promotes cooperation in networks | cs.GT | We consider the problem of explaining the emergence and evolution of
cooperation in dynamic network-structured populations. Building on seminal work
by Poncela et al, which shows how cooperation (in one-shot prisoner's dilemma)
is supported in growing populations by an evolutionary preferential attachment
(EPA) model, ... | computer science |
35,000 | Neural coordination can be enhanced by occasional interruption of normal
firing patterns: A self-optimizing spiking neural network model | nlin.AO | The state space of a conventional Hopfield network typically exhibits many
different attractors of which only a small subset satisfy constraints between
neurons in a globally optimal fashion. It has recently been demonstrated that
combining Hebbian learning with occasional alterations of normal neural states
avoids thi... | computer science |
35,001 | Symbolic regression of generative network models | cs.NE | Networks are a powerful abstraction with applicability to a variety of
scientific fields. Models explaining their morphology and growth processes
permit a wide range of phenomena to be more systematically analysed and
understood. At the same time, creating such models is often challenging and
requires insights that may... | computer science |
35,002 | When Darwin meets Lorenz: Evolving new chaotic attractors through
genetic programming | nlin.CD | In this paper, we propose a novel methodology for automatically finding new
chaotic attractors through a computational intelligence technique known as
multi-gene genetic programming (MGGP). We apply this technique to the case of
the Lorenz attractor and evolve several new chaotic attractors based on the
basic Lorenz te... | computer science |
35,003 | Generating functionals for computational intelligence: the Fisher
information as an objective function for self-limiting Hebbian learning rules | cs.NE | Generating functionals may guide the evolution of a dynamical system and
constitute a possible route for handling the complexity of neural networks as
relevant for computational intelligence. We propose and explore a new objective
function, which allows to obtain plasticity rules for the afferent synaptic
weights. The ... | computer science |
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