MOEA/D + uniform design: a new version of MOEA/D for optimization problems with many objectives

DOI10.1016/j.cor.2012.01.001zbMath1348.90566OpenAlexW2027353299MaRDI QIDQ336339

Yan-yan Tan, Hong Li, Yong-chang Jiao, Xin-kuan Wang

Publication date: 10 November 2016

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

Full work available at URL: https://doi.org/10.1016/j.cor.2012.01.001

zbMATH Keywords

decompositionmultiobjective optimizationuniform designmany-objective problemsweight vector

Mathematics Subject Classification ID

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

Related Items (13)

A new evolutionary algorithm based on contraction method for many-objective optimization problems ⋮ A novel hybrid multi-objective immune algorithm with adaptive differential evolution ⋮ A novel adaptive control strategy for decomposition-based multiobjective algorithm ⋮ An improved MOEA/D with optimal DE schemes for many-objective optimization problems ⋮ Multi-condition multi-objective optimization using deep reinforcement learning ⋮ Multi-objective fuzzy flexible job shop scheduling using memetic algorithm ⋮ A scalarization-based dominance evolutionary algorithm for many-objective optimization ⋮ Many-objective optimization using adaptive differential evolution with a new ranking method ⋮ A variable neighborhood MOEA/D for multiobjective test task scheduling problem ⋮ Multiobjective cloud particle optimization algorithm based on decomposition ⋮ Methods for multi-objective optimization: an analysis ⋮ An overview of population-based algorithms for multi-objective optimisation ⋮ An efficient solution strategy for bilevel multiobjective optimization problems using multiobjective evolutionary algorithm

Uses Software

• MOEA/D
• SPEA2
• RM-MEDA
• MSOPS-II

Cites Work

• Number theoretic methods in applied statistics. II
• Nonlinear multiobjective optimization
• The design and analysis of computer experiments.
• Experiments with Mixtures: A Review
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