Constrained self-adaptive genetic algorithm

DOI10.1007/s40324-016-0068-yzbMath1348.49017OpenAlexW2256239065MaRDI QIDQ333522

Tapan Kumar Singh

Publication date: 31 October 2016

Published in: S\(\vec{\text{e}}\)MA Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40324-016-0068-y

zbMATH Keywords

quadratic approximationLaplace crossoverpower mutation

Mathematics Subject Classification ID

Optimality conditions for free problems in two or more independent variables (49K10) Optimality conditions for solutions belonging to restricted classes (Lipschitz controls, bang-bang controls, etc.) (49K30)

Cites Work

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• A self-adaptive combined strategies algorithm for constrained optimization using differential evolution
• On the equality constraints tolerance of constrained optimization problems
• Self-adaptive mix of particle swarm methodologies for constrained optimization
• Adaptive configuration of evolutionary algorithms for constrained optimization
• A new mutation operator for real coded genetic algorithms
• Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art
• An efficient constraint handling method for genetic algorithms
• A new crossover operator for real coded genetic algorithms
• Self-adaptive differential evolution incorporating a heuristic mixing of operators

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