Splitting for optimization

DOI10.1016/j.cor.2016.04.015zbMath1349.90689OpenAlexW2340672276MaRDI QIDQ342427

Dirk P. Kroese, Qibin Duan

Publication date: 17 November 2016

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2016.04.015

zbMATH Keywords

evolutionary computationsplitting methoddifferential evolutionartificial bee colonycontinuous optimization

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Approximation methods and heuristics in mathematical programming (90C59)

Related Items

Splitting for multi-objective optimization ⋮ Hopping between distant basins

Uses Software

• ABC

Cites Work

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• Efficient Monte Carlo simulation via the generalized splitting method
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• A modified artificial bee colony algorithm
• A comparative study of artificial bee colony algorithm
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
• Handbook of Monte Carlo Methods