Parallel Multi-Criterion Genetic Algorithms: Review and Comprehensive Study

Bhabani Shankar Prasad Mishra, Subhashree Mishra and Sudhansu Sekhar Singh
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Bhabani Shankar Prasad Mishra: School of Computer Engineering, KIIT University, Bhubaneswar, India
Subhashree Mishra: School of Electronics Engineering, KIIT University, Bhubaneswar, India
Sudhansu Sekhar Singh: School of Electronics Engineering, KIIT University, India

International Journal of Applied Evolutionary Computation (IJAEC), 2016, vol. 7, issue 1, 50-62

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.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jaec00:v:7:y:2016:i:1:p:50-62

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