Neural Computing and Applications · 2020 · 689 citations · 88 references
ArchitectureComputational EngineeringComputer EngineeringDesign OptimizationEvolutionary TheoryOptimizationEvolutionary ComputationEvolutionary OptimizationGenetic AlgorithmsGenetic ProgrammingHeuristic OptimizationPopulation-based SearchDifferential EvolutionEvolutionary AlgorithmsEvolutionary SearchPopulation-based Optimization
Abstract The main focus of this paper is on the family of evolutionary algorithms and their real-life applications. We present the following algorithms: genetic algorithms, genetic programming, differential evolution, evolution strategies, and evolutionary programming. Each technique is presented in the pseudo-code form, which can be used for its easy implementation in any programming language. We present the main properties of each algorithm described in this paper. We also show many state-of-the-art practical applications and modifications of the early evolutionary methods. The open research issues are indicated for the family of evolutionary algorithms.
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Kalyanmoy Deb, Himanshu Jain · IEEE Transactions on Evolutionary Computation · 2013 · 6.8K citations
Evolutionary programming made faster
Xin Yao, Yong Liu, Guangming Lin · IEEE Transactions on Evolutionary Computation · 1999 · 3.9K citations