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- Title
Parallel Single and Multiple Objectives Genetic Algorithms: A Survey.
- Authors
Mishra, B. S. P.; Dehuri, S.; Mall, R.; Ghosh, A.
- Abstract
This paper critically reviews the reported research on parallel single and multi-objective genetic algorithms. Many early efforts on single and multi-objective genetic algorithms were introduced to reduce the processing time needed to reach an acceptable solution. However, some parallel single and multi-objective genetic algorithms converged to better solutions as compared to comparable sequential single and multiple objective genetic algorithms. The authors review several representative models for parallelizing single and multi-objective genetic algorithms. Further, some of the issues that have not yet been studied systematically are identified in the context of parallel single and parallel multi-objective genetic algorithms. Finally, some of the potential applications of parallel multi-objective GAs are discussed.
- Publication
International Journal of Applied Evolutionary Computation, 2011, Vol 2, Issue 2, p21
- ISSN
1942-3594
- Publication type
Article
- DOI
10.4018/jaec.2011040102