A multiobjective multifactorial optimization algorithm based on decomposition and dynamic resource allocation strategy

DOI10.1016/j.ins.2019.09.058zbMath1456.90152OpenAlexW2975673164WikidataQ127250272 ScholiaQ127250272MaRDI QIDQ1999106

Zhiming Dong, Xianpeng Wang, Shuangshuang Yao, Lei Ren

Publication date: 18 March 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2019.09.058

zbMATH Keywords

decompositiondynamic resource allocatingevolutionary multitaskingmultiobjective multifactorial optimization

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29)

Related Items (2)

MOEA/D with a self-adaptive weight vector adjustment strategy based on chain segmentation ⋮ Pareto dominance based multiobjective cohort intelligence algorithm

Uses Software

• NBI
• MOEA/D
• Omni-optimizer

Cites Work

• Unnamed Item
• Nonlinear multiobjective optimization
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• An adaptive decomposition-based evolutionary algorithm for many-objective optimization
• An adaptation reference-point-based multiobjective evolutionary algorithm
• Omni-optimizer: a generic evolutionary algorithm for single and multi-objective optimization
• Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems
• Evolutionary Multi-Criterion Optimization

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