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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Ahmed Lahjouji El Idrissi
Abdelmalek Essaâdi University

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Genetic algorithm with immigration strategy to solve the fixed charge transportation problem Ahmed Lahjouji El Idrissi; Chakir Tajani
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 1: July 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i1.pp313-320

Abstract

This paper is about improving the performance of genetic algorithm (GA) to solve the fixed-charge transportation problem (FCTP). Several approaches have been developed, based on adaptation and improvement of genetic operators. We propose a new genetic algorithm adopting an immigration strategy to maintain the diversity in the population and then overcome the stagnation of the values of the objective function. Thereby, we applied two types of immigration, random immigration and memory-based immigration. The numerical results obtained with several standard instances of the FCTP problem demonstrate the effectiveness of these strategies in improving the performance of the GA. Especilly, for the second strategy.
Co-Authors Chakir Tajani