AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking

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Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Francisco Herrera

Published: 2021, Last Modified: 13 Nov 2024Inf. Sci. 2021EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•An adaptive and transfer guided metaheuristic is proposed for Evolutionary Multitasking.•Synergies between tasks are analyzed along the search in a dynamic way.•4 different combinatorial optimization problems have been considered.•11 multitasking scenarios are solved comprised by 5 to 20 instances.•Proposed AT-MFCGA is compared with MFEA, MFEA-II and MFCGA.