A niche hybrid genetic algorithm for global optimization of continuous multimodal functions

DOI10.1016/j.amc.2003.11.023zbMath1062.65065OpenAlexW2058792525MaRDI QIDQ1764692

Mei Zhao, Lingyun Wei

Publication date: 22 February 2005

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2003.11.023

zbMATH Keywords

convergencenumerical experimentsGlobal optimizationmultimodal optimizationsimplex searchHybrid genetic algorithmsMultimodal functionsNelder-Mead's simplex methodNiche

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Multi-objective and goal programming (90C29) Nonlinear programming (90C30)

Related Items (10)

A restarted and modified simplex search for unconstrained optimization ⋮ Particle swarm and ant colony algorithms hybridized for improved continuous optimization ⋮ Chemo-inspired genetic algorithm for function optimization ⋮ A sequential niching memetic algorithm for continuous multimodal function optimization ⋮ Gas turbine diagnostics using a soft computing approach ⋮ Quadratic approximation based hybrid genetic algorithm for function optimization ⋮ An effective multiagent evolutionary algorithm integrating a novel roulette inversion operator for engineering optimization ⋮ Structural design optimization based on hybrid time-variant reliability measure under non-probabilistic convex uncertainties ⋮ Hybrid metaheuristics with evolutionary algorithms specializing in intensification and diversification: overview and progress report ⋮ Parameter determination and response analysis of viscoelastic material

Uses Software

• Genocop
• Tabu search

Cites Work

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• A multipopulation genetic algorithm aimed at multimodal optimization
• Genetic and Nelder--Mead algorithms hybridized for a more accurate global optimization of continuous multiminima functions.
• FITTING OF TABU SEARCH TO OPTIMIZE FUNCTIONS OF CONTINUOUS VARIABLES
• A Simplex Method for Function Minimization
• A continuous genetic algorithm designed for the global optimization of multimodal functions

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