Statistical learning makes the hybridization of particle swarm and differential evolution more efficient --- a novel hybrid optimizer

DOI10.1007/S11432-009-0119-4zbMath1188.90230OpenAlexW2044906361WikidataQ115466317 ScholiaQ115466317MaRDI QIDQ848252

Bin Xin, Jie Chen, Feng Pan, Zhihong Peng

Publication date: 3 March 2010

Published in: Science in China. Series F (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11432-009-0119-4

zbMATH Keywords

global optimizationdifferential evolutionstatistical learninghybridizationparticle swarm optimizationmultimodal functions

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

Statistical learning makes the hybridization of particle swarm and differential evolution more efficient --- a novel hybrid optimizer

Cites Work

• Differential evolution. A practical approach to global optimization. With CD-ROM.
• Statistical learning makes the hybridization of particle swarm and differential evolution more efficient --- a novel hybrid optimizer
• Advances in differential evolution

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