Dynamic guiding particle swarm optimization with embedded chaotic search for solving multidimensional problems

DOI10.1007/S11590-011-0297-ZzbMath1258.90107OpenAlexW2040253891MaRDI QIDQ691490

Min-Yuan Cheng, Kuo-Yu Huang, Hung-Ming Chen

Publication date: 30 November 2012

Published in: Optimization Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11590-011-0297-z

zbMATH Keywords

particle swarm optimizationchaotic searchdynamic guiding approach

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

A differential evolution algorithm with cooperative coevolutionary selection operation for high-dimensional optimization

Cites Work

• Unnamed Item
• A study of global optimization using particle swarms
• Chaos embedded particle swarm optimization algorithms
• Dynamic analysis for the selection of parameters and initial population, in particle swarm optimization
• The GLOBAL optimization method revisited
• Complexities and their applications to characterization of chaos
• Simple mathematical models with very complicated dynamics

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