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Optimization of control parameters in genetic algorithms: A stochastic approach

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Publication:4546896
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DOI10.1080/002077299292290zbMath1020.65032OpenAlexW2099307569MaRDI QIDQ4546896

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Publication date: 1999

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/002077299292290


zbMATH Keywords

stochastic optimizationnumerical resultsgenetic algorithmsMarkov processasymptotic convergenceoptimization of control parametersnon-stationary Markov model


Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Discrete-time Markov processes on general state spaces (60J05) Stochastic programming (90C15)


Related Items (4)

A genetic algorithm with fuzzy crossover operator and probability ⋮ Nearly data-based optimal control for linear discrete model-free systems with delays via reinforcement learning ⋮ Enhancing stochastic search performance by value-biased randomization of heuristics ⋮ An evolutionary programming approach to mixed-variable optimization problems







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