A new evolutionary algorithm based on contraction method for many-objective optimization problems

DOI10.1016/J.AMC.2014.07.069zbMath1335.90086OpenAlexW2060049793MaRDI QIDQ278602

Cai Dai, Miao Ye, Yuping Wang

Publication date: 2 May 2016

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

Full work available at URL: https://doi.org/10.1016/j.amc.2014.07.069

zbMATH Keywords

rankingmany-objective optimizationorthogonal crossover operator

Mathematics Subject Classification ID

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

Uses Software

• MOEA/D
• SMS-EMOA
• HypE
• SMPSO

Cites Work

• MOEA/D + uniform design: a new version of MOEA/D for optimization problems with many objectives
• SMS-EMOA: multiobjective selection based on dominated hypervolume
• Evolutionary multi-criterion optimization. 4th international conference, EMO 2007, Matsushima, Japan, March 5--8, 2007. Proceedings
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Theory of the hypervolume indicator
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