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Parallel Multi-Criterion Genetic Algorithms: Review and Comprehensive Study

Parallel Multi-Criterion Genetic Algorithms: Review and Comprehensive Study
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Author(s): Bhabani Shankar Prasad Mishra (KIIT University, India), Subhashree Mishra (KIIT University, India) and Sudhansu Sekhar Singh (School of Electronics Engineering, KIIT University, India)
Copyright: 2017
Pages: 15
Source title: Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-0788-8.ch008

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Abstract

The objective of this paper is to study the existing and current research on parallel multi-objective genetic algorithms (PMOGAs) through an intensive experiment. Many early efforts on parallelizing multi-objective genetic algorithms were introduced to reduce the processing time needed to reach an acceptable solution of them with various examples. Further, the authors tried to identify some of the issues that have not yet been studied systematically under the umbrella of parallel multi-objective genetic algorithms. Finally, some of the potential application of parallel multi objective genetic algorithm is discussed.

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