A hybrid glowworm swarm optimization algorithm to solve constrained multimodal functions optimization

DOI10.1080/02331934.2013.793329zbMath1328.68210OpenAlexW2089295839MaRDI QIDQ5248219

Yongquan Zhou, Guo Zhou, Junli Zhang

Publication date: 28 April 2015

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2013.793329

zbMATH Keywords

differential evolutionmultimodal function optimizationartificial fish swarmhybrid optimization algorithmglowworm swarm optimization

Mathematics Subject Classification ID

Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Randomized algorithms (68W20)

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Cites Work

• Optimization by Simulated Annealing
• A hybrid particle swarm optimization with a feasibility-based rule for constrained optimization
• Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art
• The development of a changing range genetic algorithm
• Solving nonlinearly constrained global optimization problem via an auxiliary function method
• Derivative-free filter simulated annealing method for constrained continuous global optimization

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