Selfish gene algorithm vs genetic algorithm: a review. IOP Conference Series: Materials Science and Engineering, 160: 012098. pp. 1-11. ISSN 1757-899X (2016)
Abstract
Evolutionary algorithm is one of the algorithms inspired by the nature. Within little more than a decade hundreds of papers have reported successful applications of EAs. In this paper, the Selfish Gene Algorithms (SFGA), as one of the latest evolutionary algorithms (EAs) inspired from the Selfish Gene Theory which is an interpretation of Darwinian Theory ideas from the biologist Richards Dawkins on 1989. In this paper, following a brief introduction to the Selfish Gene Algorithm (SFGA), the chronology of its evolution is presented. It is the purpose of this paper is to present an overview of the concepts of Selfish Gene Algorithm (SFGA) as well as its opportunities and challenges. Accordingly, the history, step involves in the algorithm are discussed and its different applications together with an analysis of these applications are evaluated.
| Item Type: | Article |
|---|---|
| Keywords: | Parallel processing, Task partitioning, Hierarchical heterogeneous cluster, Multi-core, Heuristic testing |
| Taxonomy: | By Niche > Genome > Genomes Data Processing By Niche > Genome > Human Genome Research |
| Local Content Hub: | Niche > Genome |
| Depositing User: | Hazrul Amir Tomyang (Puncak Alam) |
| Date Deposited: | 24 May 2024 09:26 |
| Last Modified: | 24 May 2024 09:26 |
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