Behaviour study of genetic operators for the solid waste collection problem: the municipality of Sidi Bou Said case study
by Olfa Harrabi; Jouhaina Chaouachi Siala; Farah Farjallah
International Journal of Computational Intelligence Studies (IJCISTUDIES), Vol. 10, No. 4, 2021

Abstract: Genetic algorithms are categorised as efficient global search heuristic in solving high computational problems. However, their performance is heavily dependent on the choice of the appropriate operator especially crossover. Moreover, the crossover operator efficiency could considerably be influenced by the problem definition, the fitness function and the instance structure. For the practical demonstration of these phenomena, we tackle the solid waste collection problem. We focus therefore on determining the most promising set of parameters by varying the performance measures. The case of the City of Sidi Bou Said is treated along during our experimental study.

Online publication date: Mon, 24-Jan-2022

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