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A Bio-Inspired Approach to Solve the Problem of Regular Carpooling
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Author(s): Khadidja Yachba (LIO Laboratory, University of Relizane, Algeria), Zakaria Bendaoud (GeCoDe Laboratory, University of Saida Dr. Moulay Tahar, Algeria), Karim Bouamrane (LIO Laboratory, Oran 1 University, Algeria)and Rachid Kaleche (LIO Laboratory, Oran 1 University, Algeria)
Copyright: 2023
Pages: 18
Source title:
Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch175
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Abstract
Carpooling involves sharing your personal vehicle to make a common trip in order to share the costs of fuel, toll, or simply to exchange. The goal of this work is to adopt an ideal strategy for carpooling. The problem is to find the best groups between a fixed set of individuals who make the same trip every day and in a regular way. In order to reach the goal, the authors adapted a bio-inspired meta-heuristic (firefly algorithm). This technique allowed them to have very satisfactory results.
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