Parallel Multi-Criterion Genetic Algorithms

Author:

Mishra Bhabani Shankar Prasad1,Mishra Subhashree2,Singh Sudhansu Sekhar3

Affiliation:

1. School of Computer Engineering, KIIT University, Bhubaneswar, India

2. School of Electronics Engineering, KIIT University, Bhubaneswar, India

3. School of Electronics Engineering, KIIT University, India

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.

Publisher

IGI Global

Subject

General Earth and Planetary Sciences,General Environmental Science

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