A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs

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6 Citas (Scopus)

Resumen

The main goal of the multitasking optimization paradigm is to solve multiple and concurrent optimization tasks in a simultaneous way through a single search process. For attaining promising results, potential complementarities and synergies between tasks are properly exploited, helping each other by virtue of the exchange of genetic material. This paper is focused on Evolutionary Multitasking, which is a perspective for dealing with multitasking optimization scenarios by embracing concepts from Evolutionary Computation. This work contributes to this field by presenting a new multitasking approach named as Coevolutionary Variable Neighborhood Search Algorithm, which finds its inspiration on both the Variable Neighborhood Search metaheuristic and coevolutionary strategies. The second contribution of this paper is the application field, which is the optimal partitioning of graph instances whose connections among nodes are directed and weighted. This paper pioneers on the simultaneous solving of this kind of tasks. Two different multitasking scenarios are considered, each comprising 11 graph instances. Results obtained by our method are compared to those issued by a parallel Variable Neighborhood Search and independent executions of the basic Variable Neighborhood Search. The discussion on such results support our hypothesis that the proposed method is a promising scheme for simultaneous solving community detection problems over graphs.

Idioma originalInglés
Título de la publicación alojada2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas768-774
Número de páginas7
ISBN (versión digital)9781728125473
DOI
EstadoPublicada - 1 dic 2020
Evento2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020 - Virtual, Canberra, Australia
Duración: 1 dic 20204 dic 2020

Serie de la publicación

Nombre2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020

Conferencia

Conferencia2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020
País/TerritorioAustralia
CiudadVirtual, Canberra
Período1/12/204/12/20

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