Multi-criteria Scheduling in Parallel Environment with Learning Effect

This paper is devoted to the study of a multi-criteria scheduling problem on unrelated processors with machines’ learning effect, with the goal of minimizing makespan, machine cost and maximal flow-time simultaneously, which is an NP-hard problem. An improved particle swarm optimization algorithm eq...

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Main Authors: Liu Xinbo, Feng Yue, Ding Ning, Li Rui, Chen Xin
Format: Article
Language:English
Published: Sciendo 2024-02-01
Series:Foundations of Computing and Decision Sciences
Subjects:
Online Access:https://doi.org/10.2478/fcds-2024-0001
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author Liu Xinbo
Feng Yue
Ding Ning
Li Rui
Chen Xin
author_facet Liu Xinbo
Feng Yue
Ding Ning
Li Rui
Chen Xin
author_sort Liu Xinbo
collection DOAJ
description This paper is devoted to the study of a multi-criteria scheduling problem on unrelated processors with machines’ learning effect, with the goal of minimizing makespan, machine cost and maximal flow-time simultaneously, which is an NP-hard problem. An improved particle swarm optimization algorithm equipped with the overloaded operators, as well as a procedure of Levy flight, is proposed to generate the Pareto-optimal solutions. The experimental results show that the Levy flight strategy can effectively improve the performance of the algorithm, which can generate more non-dominated solutions, and slightly reduce the execution time of the process.
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spelling doaj.art-6ce092ec1d134bff84fbce2d5aa11a072024-02-19T09:03:40ZengSciendoFoundations of Computing and Decision Sciences2300-34052024-02-0149132010.2478/fcds-2024-0001Multi-criteria Scheduling in Parallel Environment with Learning EffectLiu Xinbo0Feng Yue1Ding Ning2Li Rui3Chen Xin41SolBridge International School of Business, Woosong University, Daejeon, South Korea.2School of Information Engineering, Liaoning Institute of Science and Engineering, Jinzhou, China.3College of Physical and Health, Dalian University of Technology, Panjin, China.4School of Electronics and Information Engineering, Liaoning University of Technology, Jinzhou, China.4School of Electronics and Information Engineering, Liaoning University of Technology, Jinzhou, China.This paper is devoted to the study of a multi-criteria scheduling problem on unrelated processors with machines’ learning effect, with the goal of minimizing makespan, machine cost and maximal flow-time simultaneously, which is an NP-hard problem. An improved particle swarm optimization algorithm equipped with the overloaded operators, as well as a procedure of Levy flight, is proposed to generate the Pareto-optimal solutions. The experimental results show that the Levy flight strategy can effectively improve the performance of the algorithm, which can generate more non-dominated solutions, and slightly reduce the execution time of the process.https://doi.org/10.2478/fcds-2024-0001multi-criteriaparallel processors schedulinglearning effectparticle swarm optimizationlevy flight
spellingShingle Liu Xinbo
Feng Yue
Ding Ning
Li Rui
Chen Xin
Multi-criteria Scheduling in Parallel Environment with Learning Effect
Foundations of Computing and Decision Sciences
multi-criteria
parallel processors scheduling
learning effect
particle swarm optimization
levy flight
title Multi-criteria Scheduling in Parallel Environment with Learning Effect
title_full Multi-criteria Scheduling in Parallel Environment with Learning Effect
title_fullStr Multi-criteria Scheduling in Parallel Environment with Learning Effect
title_full_unstemmed Multi-criteria Scheduling in Parallel Environment with Learning Effect
title_short Multi-criteria Scheduling in Parallel Environment with Learning Effect
title_sort multi criteria scheduling in parallel environment with learning effect
topic multi-criteria
parallel processors scheduling
learning effect
particle swarm optimization
levy flight
url https://doi.org/10.2478/fcds-2024-0001
work_keys_str_mv AT liuxinbo multicriteriaschedulinginparallelenvironmentwithlearningeffect
AT fengyue multicriteriaschedulinginparallelenvironmentwithlearningeffect
AT dingning multicriteriaschedulinginparallelenvironmentwithlearningeffect
AT lirui multicriteriaschedulinginparallelenvironmentwithlearningeffect
AT chenxin multicriteriaschedulinginparallelenvironmentwithlearningeffect