Finite persisting sphere genetic algorithm in solving multiobjectives problem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper analyzes the performance of Genetic Algorithm using a new concept, namely Finite Persisting Sphere Genetic Algorithm (FPSGA). This algorithm shows the unique method in achieving fast convergence and great diversity for the multiobjective problem. These special characteristics of FPSGA are very useful in order to improve Genetic Algorithm (GA) performance to have great individuals mingling in the area of solution. Besides can help a system to solve a GA problem in a short duration, it can also prevent the solutions from trapped in the local optimum.

Original languageEnglish
Title of host publicationProceeding, 2010 IEEE Student Conference on Research and Development - Engineering
Subtitle of host publicationInnovation and Beyond, SCOReD 2010
Pages183-186
Number of pages4
DOIs
Publication statusPublished - 01 Dec 2010
Event2010 8th IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010 - Kuala Lumpur, Malaysia
Duration: 13 Dec 201014 Dec 2010

Publication series

NameProceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010

Other

Other2010 8th IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010
CountryMalaysia
CityKuala Lumpur
Period13/12/1014/12/10

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Education

Cite this

Kamil, K., Chong, K. H., Tiong, S. K., & Ho, Y. K. (2010). Finite persisting sphere genetic algorithm in solving multiobjectives problem. In Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010 (pp. 183-186). [5703998] (Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010). https://doi.org/10.1109/SCORED.2010.5703998