Skip to main content
Article thumbnail
Location of Repository

Recessive Trait Cross Over Approach of GAs Population Inheritance for Evolutionary Optimisation

By Amr Madkour, Alamgir Hossain and Keshav Dahal

Abstract

Abstract — This research presents an investigation into a new population inheritance approach using a concept taken from the recessive trait idea for evolutionary optimization. Evolutionary human inheritance recessive trait idea is used to enhance the effectiveness of the traditional genetic algorithms. The capability of the modified approach is explored by two examples (i) a mathematical function of two variables, and (ii) an active vibration control of a flexible beam system. Finally, a comparative performance for convergence is presented and discussed to demonstrate the merits of the modified genetic algorithms approach over the traditional ones

Topics: Index Terms — Genetic algorithms, PEAKS function, System identification, Flexible
Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.135.8377
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://cs.armstrong.edu/wsc11/... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.