Title: A dynamic configuration with a shared knowledge centre for multi-objective ant colony optimisation algorithms

Authors: Mohamed Rhazzaf; Tawfik Masrour

Addresses: Doctoral Studies Center, ENSAM-Meknes, My Ismail University, Meknes, Morocco ' Department of Mathematics and Informatics, ENSAM-Meknes, My Ismail University, Meknes, Morocco

Abstract: This paper proposes a dynamic configuration approach to the ant colony optimisation algorithm configuration, applied to multi-objective optimisation problems. Indeed, the inertia of the static vision of the pheromone or visibility preferences values makes our dynamic approach desired. We propose a model based on a collective knowledge centre shared by the colony members, storing the best configurations based on the old colony's experiments during the learning phase for random problems. The construction of this centre is based on statistical and qualitative studies of the evaluation criteria that will be explained over the paper. Our model gives results that show a rise in quality of the outputs, as well as a proof of concept for the artificial learning approach.

Keywords: swarm intelligence; multi agents system; ant colony optimisation; multi-criteria optimisation; travelling salesman problems.

DOI: 10.1504/IJISTA.2020.112435

International Journal of Intelligent Systems Technologies and Applications, 2020 Vol.19 No.6, pp.541 - 554

Received: 25 Jun 2019
Accepted: 08 Feb 2020
Published online: 15 Jan 2021 *

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