Performance Analysis of Fitness Scaling Functions in Genetic Algorithm

Abstract

Genetic algorithm is one of the heuristic methods of searching and optimization technique used today. Optimization deals with the problem of minimizing or maximizing the function using several variables subject to either equality or inequality constraints. But for getting more optimized results we use fitness scaling functions with GA. In this paper we can compare various kind of fitness scaling functions and try to find out which one is most suitable for any application.

Authors and Affiliations

Sangeeta . , Bal Kishan

Keywords

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  • EP ID EP22448
  • DOI -
  • Views 217
  • Downloads 3

How To Cite

Sangeeta . , Bal Kishan (2016). Performance Analysis of Fitness Scaling Functions in Genetic Algorithm. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(7), -. https://europub.co.uk/articles/-A-22448