Multi-leader migrating birds optimisation: a novel nature-inspired metaheuristic for combinatorial problems

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• dc.contributor.author Lalla-Ruiz, Eduardo
• dc.contributor.author De Armas, Jésica
• dc.contributor.author Expósito-Izquierdo, Christopher
• dc.contributor.author Melián-Batista, Belén
• dc.contributor.author Moreno-Vega, J. Marcos
• dc.date.accessioned 2024-02-12T09:50:35Z
• dc.date.available 2024-02-12T09:50:35Z
• dc.date.issued 2017
• dc.description.abstract In this paper, we present multi-leader migrating birds optimisation. This algorithm is a nature-inspired population-based approach that exploits the concepts of self-organisation, cooperation, and distribution of migrating birds. For this purpose, the individuals maintain a well-defined relationship scheme. In this regard, each individual modifies a solution of the problem at hand through a set of operators defined by the user. The individuals cooperate among themselves during the search process by sharing information about the explored search space. Moreover, we assess the performance of our algorithm on the quadratic assignment problem due to the large number and heterogeneous characteristics of its application fields. The computational results disclose that the algorithm is highly competitive and provides new best solutions for the problem applied to printed circuit board problem.
• dc.format.mimetype application/pdf
• dc.identifier.citation Lalla-Ruiz E, de Armas J, Expósito-Izquierdo C, Melián-Batista B, Moreno-Vega JM. Multi-leader migrating birds optimisation: a novel nature-inspired metaheuristic for combinatorial problems. International Journal of Bio-Inspired Computation. 2017 Jan;10(2):89-98. DOI: 10.1504/IJBIC.2017.085890
• dc.identifier.doi http://dx.doi.org/10.1504/IJBIC.2017.085890
• dc.identifier.issn 1758-0366
• dc.identifier.uri http://hdl.handle.net/10230/59081
• dc.language.iso eng
• dc.publisher ACM Association for Computer Machinery
• dc.relation.ispartof International Journal of Bio-Inspired Computation. 2017 Jan;10(2):89-98
• dc.rights © ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in International Journal of Bio-Inspired Computation, {10, 2, Jan 2017} http://doi.acm.org/10.1145/0.1504/IJBIC.2017.085890
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Nature-inspired
• dc.subject.keyword Metaheuristic
• dc.subject.keyword Migrating birds optimization
• dc.title Multi-leader migrating birds optimisation: a novel nature-inspired metaheuristic for combinatorial problems
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/acceptedVersion