Two-stage based ensemble optimization framework for large-scale global optimization

DOI10.1016/j.ejor.2012.12.021zbMath1317.90247OpenAlexW2038660778MaRDI QIDQ2355073

Wenting Mo, Junchi Yan, Min Li, Chun Hua Tian, Yu Wang, Jin Huang, Wei Shan Dong

Publication date: 28 July 2015

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2012.12.021

zbMATH Keywords

evolutionary computationscooperative co-evolutioncontinuous optimizationgradual learning strategylarge scale global optimization

Mathematics Subject Classification ID

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

Related Items (1)

Incremental cooperative coevolution for large-scale global optimization

Uses Software

• Hyperheuristics

Cites Work

• Optimization of nonlinear geological structure mapping using hybrid neuro-genetic techniques
• Self-adaptive learning based particle swarm optimization
• Towards a new evolutionary computation. Advances on estimation of distribution algorithms.
• Large-scale nonlinear optimization. Papers based on the presentation at the workshop on large scale nonlinear optimization, Erice, Italy, June 22--July 1, 2004.
• Large scale evolutionary optimization using cooperative coevolution
• The parallel genetic algorithm as function optimizer
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Unnamed Item

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