Optimizing GoTools' Search Heuristics using Genetic Algorithms
GoTools is a program which solves life & death problems in the game of Go. This paper describes experiments using
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Optimizing semiconductor devices by self-organizing particle swarm
A self-organizing particle swarm is presented. It works in dissipative state by employing the small inertia weight, according to experimental
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Potholes on the Royal Road
It is still unclear how an evolutionary algorithm (EA) searches a fitness landscape, and on what fitness landscapes a particular
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Adaptive evolution of transcription factor binding sites
The regulation of a gene depends on the binding of transcription factors to specific sites located in the regulatory region
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A dissipative particle swarm optimization
A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to
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A model of student's dilemma
Each year perhaps millions of young people face the following dilemma: should I continue my education or rather start working
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A new hierarchy of avalanches observed in Bak-Sneppen evolution model
A new quantity, average fitness, is introduced in Bak-Sneppen evolution model. Through this new quantity, a new hierarchy of avalanches
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Artificial Neoteny in Evolutionary Image Segmentation
Neoteny, also spelled Paedomorphosis, can be defined in biological terms as the retention by an organism of juvenile or even
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Combinatorial Toolbox for Protein Sequence Design and Landscape Analysis in the Grand Canonical Model
In modern biology, one of the most important research problems is to understand how protein sequences fold into their native
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Evidential Force Aggregation
In this paper we develop an evidential force aggregation method intended for classification of evidential intelligence into recognized force structures.
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Genetic Algorithm for SU(N) gauge theory on a lattice
An Algorithm is proposed for the simulation of pure SU(N) lattice gauge theories based on Genetic Algorithms(GAs). Main difference between
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Introduction to the statistical theory of Darwinian evolution
These lectures contain a brief description of evolutionary models inspired by the statistical mechanics of disordered systems. After an introduction
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Is there a Darwinian Evolution of the Cosmos? - Some Comments on Lee Smolin's Theory of the Origin of Universes by Means of Natural Selection
For Lee Smolin, our universe is only one in a much larger cosmos (the Multiverse) - a member of a
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Number of h-cycles in the Internet at the Autonomous Systems level
We present here a study of the clustering and cycles present in the graph of Internet at the Autonomous Systems
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Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non--Stationary Environments
Genetic algorithms (GAs) that solve hard problems quickly, reliably and accurately are called competent GAs. When the fitness landscape of
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Resource Sharing and Coevolution in Evolving Cellular Automata
Evolving one-dimensional cellular automata (CAs) with genetic algorithms has provided insight into how improved performance on a task requiring global
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Simple models of evolution and extinction
This article gives a brief introduction to the mathematical modeling of large-scale biological evolution and extinction. We give three examples
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Strength distribution in gradient networks
This article describes a gradient complex network model whose weights are proportional to the difference between uniformly distributed ``fitness'' values
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Sub-structural Niching in Estimation of Distribution Algorithms
We propose a sub-structural niching method that fully exploits the problem decomposition capability of linkage-learning methods such as the estimation
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Sub-Structural Niching in Non-Stationary Environments
Niching enables a genetic algorithm (GA) to maintain diversity in a population. It is particularly useful when the problem has
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SYNERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SYNERGY, which is a highly parallelizable, linear planning system that is based on the genetic
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The Biological Concept of Neoteny in Evolutionary Colour Image Segmentation - Simple Experiments in Simple Non-Memetic Genetic Algorithms
Neoteny, also spelled Paedomorphosis, can be defined in biological terms as the retention by an organism of juvenile or even
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Vector Anomaly Revisited in the Anomalous Magnetic Moment of $W^\pm$ Bosons
In the calculation of the anomalous magnetic moment of $W^\pm$ bosons, we discuss vector anomalies occuring in the fermion loop
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