2022
DOI: 10.1108/ec-06-2021-0337
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Synergetic energy-conscious scheduling optimization of part feeding systems via a novel chaotic reference-guided policy

Abstract: PurposeThis paper aims to investigate a multi-objective electric vehicle’s (EV’s) synergetic scheduling problem in the automotive industry, where a synergetic delivery mechanism to coordinate multiple EVs is proposed to fulfill part feeding tasks.Design/methodology/approachA chaotic reference-guided multi-objective evolutionary algorithm based on self-adaptive local search (CRMSL) is constructed to deal with the problem. The proposed CRMSL benefits from the combination of reference vectors guided evolutionary … Show more

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Cited by 1 publication
(1 citation statement)
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“…The effectiveness of the proposed hybrid-load AGV in weighing the two objectives of assembly line inventory quantity and energy consumption is verified. Zhou et al . (2022) proposed a collaborative delivery mechanism for coordinating multiple EVs for fulfilling material distribution tasks, which allows material transfer and exchange between EVs, thereby facilitating travel distance and energy consumption reduction.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The effectiveness of the proposed hybrid-load AGV in weighing the two objectives of assembly line inventory quantity and energy consumption is verified. Zhou et al . (2022) proposed a collaborative delivery mechanism for coordinating multiple EVs for fulfilling material distribution tasks, which allows material transfer and exchange between EVs, thereby facilitating travel distance and energy consumption reduction.…”
Section: Literature Reviewmentioning
confidence: 99%