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Improving Performance of Evolutionary Algorithms with Application to Fuzzy Control of Truck Backer-Upper System

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  • Yousef Alipouri
  • Saeed Ahmadizadeh
  • Hamid Reza Karimi
  • S. Vahid Naghavi
  • Ahad Soltani Sarvestani

Abstract

We propose a method to improve the performance of evolutionary algorithms (EA). The proposed approach defines operators which can modify the performance of EA, including Levy distribution function as a strategy parameters adaptation, calculating mean point for finding proper region of breeding offspring, and shifting strategy parameters to change the sequence of these parameters. Thereafter, a set of benchmark cost functions is utilized to compare the results of the proposed method with some other well-known algorithms. It is shown that the speed and accuracy of EA are increased accordingly. Finally, this method is exploited to optimize fuzzy control of truck backer-upper system.

Suggested Citation

  • Yousef Alipouri & Saeed Ahmadizadeh & Hamid Reza Karimi & S. Vahid Naghavi & Ahad Soltani Sarvestani, 2013. "Improving Performance of Evolutionary Algorithms with Application to Fuzzy Control of Truck Backer-Upper System," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-9, November.
    • Handle: RePEc:hin:jnlmpe:709027
    DOI: 10.1155/2013/709027
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