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Evolutionary computation - In computer science evolutionary computation denotes a subfield of artificial intelligence (more particular computational intelligence) involving combinatorial optimization problems. Whereas evolutionary algorithms generally only involve techniques implementing mechanisms such as reproduction, mutation, recombination, natural selection and survival of the fittest, evolutionary computation can be loosely recognised by the following criteria:
Estimation of Distribution Algorithms - In evolutionary computation the population may be approximated with a probability distribution over the space of possible solutions. This may have several advantages, including avoiding premature convergence and being a more compact representation.
Convergence (evolutionary computing) - Precisely every individual in the population is identical. While full convergence might be seen in genetic algorithms using only cross over, such convergence is seldom seen in genetic programming using Koza's subtree swapping crossover.
Genetic algorithm - A genetic algorithm (GA) is a search technique used in computer science to find approximate solutions to optimization and search problems. Genetic algorithms are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology such as inheritance, mutation, natural selection, and recombination (or crossover).
Evolutionary Computation - ... facilitating and enhancing the exchange of information among researchers involved in both the theoretical and practical aspects of computational systems of an evolutionary nature. The journal publishes both theoretical and practical developments of computational systems drawing their inspiration from nature, with particular emphasis on evolutionary models of computation such as genetic algorithms (GAs), evolutionary strategies (ESs), classifier systems (CSs), evolutionary programming (EP), and other evolutionary computation techniques."
Genetic and Evolutionary Algorithm Toolbox - GEATbx is a comprehensive implementation of evolutionary algorithms in Matlab. A broad range of operators is fully integrated into one environment.
ACOVEA (Analysis of Compiler Options via Evolutionary Algorithm) - ACOVEA (Analysis of Compiler Options via Evolutionary Algorithm) implements a genetic algorithm to the analysis of GNU C compiler optimization flags.
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