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Everything about Evolutionary computation
Trial and error problem solvers with a metaheuristic or stochastic optimization character
Evolutionary computation (EC) from computer science is a family of algorithms for global optimization inspired by biological evolution, and a subfield of computational intelligence and soft computing studying these algorithms. In technical terms, they are a family of population-based trial and error problem solvers with a metaheuristic or stochastic optimization character. Wikipedia →
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- Read the overview: Evolutionary computationA 5-minute orientation
- Pick up a classic book: Software EngineeringThe most-reprinted book on the subject
- Go sideways: Evolutionary algorithmA closely related topic
- Go sideways: Mutation (evolutionary algorithm)A closely related topic
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🗂️ The subject at a glance
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đź“š Books worth reading
Software EngineeringRoger S. Pressman, Bruce Maxim · 1982
Neural Information ProcessingTingwen Huang · 2012
Campbell biologyLisa A. Urry, Michael L. Cain · 2015
Music and Human-Computer InteractionSimon Holland · 2013
Advances in Knowledge Discovery and Data MiningJian Pei · 2013
Adaptive and Natural Computing AlgorithmsMarco Tomassini · 2013
Computational Intelligence Systems in Industrial EngineeringCengiz Kahraman · 2012
Advanced Methods, Techniques, and Applications in Modeling and SimulationJong-Hyun Kim · 2012
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
- Evolutionary algorithm Evolutionary algorithms (EA) reproduce essential elements of biological evolution in a computer algorithm in order to solve "difficult" problems, at least…
- Mutation (evolutionary algorithm) Mutation is a genetic operator used to maintain genetic diversity of the chromosomes of a population of an evolutionary algorithm (EA), including genetic…
- Evolutionary programming Evolutionary programming is an evolutionary algorithm, where a share of the new population is created by mutating the previous population without crossover…
- Genetic algorithm A genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)…
- Genetic representation In computer programming, genetic representation is a way of presenting solutions/individuals in evolutionary computation methods. The term encompasses…
- Genotypic and phenotypic repair Genotypic and phenotypic repair are optional components of an evolutionary algorithm (EA). An EA reproduces essential elements of biological evolution…
- Chromosome (evolutionary algorithm) A chromosome or genotype in evolutionary algorithms (EA) is a set of parameters which define a proposed solution of the problem that the evolutionary algorithm…
- Natural computing Natural computing, also called natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from…