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Automatic design of multi-objective local search algorithms case study on a bi-objective permutation flowshop scheduling problem

Blot, A; Jourdan, L; Kessaci, M; (2017) Automatic design of multi-objective local search algorithms case study on a bi-objective permutation flowshop scheduling problem. In: (Proceedings) GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference. (pp. pp. 227-234). ACM: New York, NY, USA. Green open access

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Abstract

Multi-objective local search (MOLS) algorithms are efficient metaheuristics, which improve a set of solutions by using their neighbourhood to iteratively find better and better solutions. MOLS algorithms are versatile algorithms with many available strategies, first to select the solutions to explore, then to explore them, and finally to update the archive using some of the visited neighbours. In this paper, we propose a new generalisation of MOLS algorithms incorporating new recent ideas and algorithms. To be able to instantiate the many MOLS algorithms ofthe literature, our generalisation exposes numerous numerical and categorical parameters, raising the possibility of being automatically designed by an automatic algorithm configuration (AAC) mechanism. We investigate the worth of such an automatic design of MOLS algorithms using MO-ParamlLS, a multi-objective AAC configurator, on the permutation flowshop scheduling problem, and demonstrate its worth against a traditional manual design.

Type: Proceedings paper
Title: Automatic design of multi-objective local search algorithms case study on a bi-objective permutation flowshop scheduling problem
Event: GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference
ISBN-13: 9781450349208
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3071178.3071323
Publisher version: https://doi.org/10.1145/3071178.3071323
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: http://discovery.ucl.ac.uk/id/eprint/10068021
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