Selfish Gene Algorithm Vs Genetic Algorithm: A Review

Selfish Gene Algorithm Vs Genetic Algorithm: A Review

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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 Ge...

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Bibliographic Details
Main Authors: Ariff, N.M (Author), Hashim, R. (Author), Khalid, N.E.A (Author), Noor, N.M (Author)
Format: Article
Language:English
Published: Institute of Physics Publishing 2016
Subjects:
Darwinian theory
Engineering research
Evolutionary algorithms
Evolutionary algorithms (EAs)
Genes
Genetic algorithms
Heterogeneous clusters
Heuristic Testing
Hierarchical Heterogeneous Cluster
Multi core
Multi-Core
Parallel processing
Parallel Processing
Selfish genes
Task partitioning
Task Partitioning
Online Access:View Fulltext in Publisher
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Description
Summary: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. © Published under licence by IOP Publishing Ltd.
ISBN:17578981 (ISSN)
DOI:10.1088/1757-899X/160/1/012098

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