An Ant Colony Optimization Behavior-Based MOEA/D for Distributed Heterogeneous Hybrid Flow Shop Scheduling Problem Under Nonidentical Time-of-Use Electricity Tariffs

This article studies a distributed heterogeneous hybrid flow shop scheduling problem under nonidentical time-of-use electricity tariffs (DHHFSP-NTOU). The makespan and the total electricity charge are considered as the optimization objectives from the view of production and management. The DHHFSP-NT...

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Vydáno v:	IEEE transactions on automation science and engineering Ročník 19; číslo 4; s. 3379 - 3394
Hlavní autoři:	Shao, Weishi, Shao, Zhongshi, Pi, Dechang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Ant colony optimization Decomposition distributed heterogeneous hybrid flow shop scheduling Effectiveness Efficiency Electric charge Electricity Evolutionary algorithms Factories Genetic algorithms Idling Industrial plants Integer programming Job shop scheduling Linear programming makespan Managers Manufacturing Mixed integer Mixed integer linear programming multiobjective evolutionary algorithm based on decomposition (MOEA/D) Multiple objective analysis Optimization Production scheduling Schedules Scheduling Tariffs Time of use electricity pricing time-of-use (TOU) electricity tariffs
ISSN:	1545-5955, 1558-3783
On-line přístup:	Získat plný text
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