Title: Behaviour study of genetic operators for the solid waste collection problem: the municipality of Sidi Bou Said case study

Authors: Olfa Harrabi; Jouhaina Chaouachi Siala; Farah Farjallah

Addresses: Higher Institute of Management of Tunis, Tunis University, 41, Liberty Street – Bouchoucha – 2000 Bardo, Tunisia ' Institute of Advanced Business Studies of Carthage, Carthage University, Tunis, Tunisia ' Institute of Advanced Business Studies of Carthage, Carthage University, Tunis, Tunisia

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.

Keywords: solid waste collection problem; genetic algorithm; crossover operator.

DOI: 10.1504/IJCISTUDIES.2021.1004454

International Journal of Computational Intelligence Studies, 2021 Vol.10 No.4, pp.258 - 271

Received: 11 Aug 2020
Accepted: 15 Feb 2021

Published online: 21 Jan 2022 *

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