A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold

Flexible job shop scheduling problem (FJSP) has been extensively considered; however, multiobjective FJSP with energy consumption threshold is seldom investigated, the goal of which is to minimize makespan and total tardiness under the constraint that total energy consumption does not exceed a given...

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Vydáno v:	IEEE transactions on cybernetics Ročník 49; číslo 3; s. 1097 - 1109
Hlavní autoři:	Lei, Deming, Li, Ming, Wang, Ling
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.03.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Energy conservation Energy consumption Energy consumption threshold Evolutionary algorithms flexible job shop scheduling problem (FJSP) Genetic algorithms Heuristic job shop scheduling Heuristic methods imperialist competitive algorithm (ICA) Job shop scheduling Job shops Multiple objective analysis Optimization Production scheduling Schedules Sociology Statistics two-phase meta-heuristic (TPM) variable neighborhood search (VNS)
ISSN:	2168-2267, 2168-2275, 2168-2275
On-line přístup:	Získat plný text
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