A genetic algorithm for unconstrained multi-objective optimization

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A genetic algorithm for unconstrained multi-objective optimization

In this paper, we propose a genetic algorithm for unconstrained multi-objective optimization. Multi-objective genetic algorithm (MOGA) is a direct method for multi-objective optimization problems. Compared to the traditional multi-objective optimization method whose aim is to find a single Pareto so...

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Bibliographic Details
Main Authors:	Long, Q., Wu, Changzhi, Huang, T., Wang, Xiangyu
Format:	Journal Article
Published:	Elsevier 2015
Online Access:	http://purl.org/au-research/grants/arc/LP140100873 http://hdl.handle.net/20.500.11937/4334

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