On Integrating Population-Based Metaheuristics with Cooperative Parallelism

López, Jheisson; Munera, Danny; Díaz, Daniel; Abreu, Salvador

doi:10.1109/ipdpsw.2018.00100

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Parallel Metaheuristics For the Qap1

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2021

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“…An Extremal Optimization (EO) procedure, an evolutionary algorithm which progressively eliminates the least fit solutions, is hybridized with RoTS and run in parallel (ParEOTS) by Munera et al [80]. Improvements were achived when RoTS, EO and a GA run in parallel using a framework designed for cooperative parallel local searches (CPLS-GA) in López et al [63]. While the CPLS framework is designed to handle single-solution metaheuristics, another framework was proposed to ease the implementation of hybrid metaheuristics using cooperative parallelism, called Parallel Hybridization of Simple Heuristics (PHYSH) in López et al [64].…”

Section: Parallel Metaheuristics For the Qapmentioning

confidence: 99%