MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition

Decomposition is a basic strategy in traditional multiobjective optimization. However, it has not yet been widely used in multiobjective evolutionary optimization. This paper proposes a multiobjective evolutionary algorithm based on decomposition (MOEA/D). It decomposes a multiobjective optimization...

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Bibliographic Details
Published in:	IEEE transactions on evolutionary computation Vol. 11; no. 6; pp. 712 - 731
Main Authors:	Qingfu Zhang, Qingfu Zhang, Hui Li, Hui Li
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.12.2007 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Applied sciences Artificial intelligence Computational complexity Computer science Computer science; control theory; systems Decomposition Evolutionary evolutionary algorithm Evolutionary algorithms Evolutionary computation Exact sciences and technology Genetic algorithms Knapsack problem Learning and adaptive systems Mathematical model Mathematical models multiobjective optimization Optimization Optimization methods Pareto optimality Pareto optimization Scalability Scalars Sorting Strategy Studies Testing multiobjective optimization Pareto optimality decomposition Computational complexity evolutionary algorithm Scalability Pareto optimum Evolutionary algorithm Multiobjective programming Optimization Knapsack problem Sorting Genetic algorithm Mathematical programming
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
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