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All Journal IAES International Journal of Robotics and Automation (IJRA)
M. Jalali Varnamkhasti
Islamic Azad University
Automotive Engineering Electrical & Electronics Engineering

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A genetic algorithm rooted in integer encoding and fuzzy controller M. Jalali Varnamkhasti
IAES International Journal of Robotics and Automation (IJRA) Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (598.025 KB) | DOI: 10.11591/ijra.v8i2.pp113-124

Abstract

The premature convergence is the essential problem in genetic algorithms and it is strongly related to the loss of genetic diversity of the population. In this study, a new sexual selection mechanism which utilizing mate chromosome during selection proposed and then technique focuses on selecting and controlling the genetic operators by applying the fuzzy logic controller. Computational experiments are conducted on the proposed techniques and the results are compared with some other operators, heuristic and local search algorithms commonly used for solving benchmark problems published in the literature.
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