Concepedia

The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances

Qingfu Zhang, Wudong Liu, Hui Li

2009 · 620 citations · 13 references

DOI

Concepts

Abstract

This paper describes the idea of MOEA/D and proposes a strategy for allocating the computational resource to different subproblems in MOEA/D. The new version of MOEA/D has been tested on all the CEC09 unconstrained MOP test instances.

References

13

A fast and elitist multiobjective genetic algorithm: NSGA-II

Kalyanmoy Deb, Amrit Pratap, Sakshi Agarwal et al. · IEEE Transactions on Evolutionary Computation · 2002 · 47.8K citations

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MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition

Qingfu Zhang, Hui Li · IEEE Transactions on Evolutionary Computation · 2007 · 9.6K citations

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Nonlinear Multiobjective Optimization

S. Mardle, K. M. Miettinen · Journal of the Operational Research Society · 2000 · 3.1K citations

Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II

Hui Li, Qingfu Zhang · IEEE Transactions on Evolutionary Computation · 2008 · 2.5K citations

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The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation

Joshua Knowles, David Corne · 2003 · 1.3K citations

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