A hybrid multiobjective evolutionary algorithm: Striking a balance with local search

DOI10.1016/J.MCM.2010.06.007zbMath1207.90087OpenAlexW2039425290MaRDI QIDQ630763

Hyun-Tae Kim, Jinung An, Eungyeong Kim, Dong-Hyun Lim, Chang Wook Ahn

Publication date: 19 March 2011

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mcm.2010.06.007

zbMATH Keywords

local searchmultiobjective optimizationevolutionary algorithmsKnapsack problemnondominated solutionsweighted fitness

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27)

Uses Software

• MOEA/D
• SPEA2
• RM-MEDA

Cites Work

• Advances in evolutionary algorithms. Theory, design and practice.
• Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms.
• Evolutionary Computation in Combinatorial Optimization
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