Multiobjective Scheduling of Energy-Efficient Stochastic Hybrid Open Shop With Brain Storm Optimization and Simulation Evaluation

Recently, energy conservation in manufacturing industry, particular in energy-intensive industries, receives much attention in order to meet the environmental protection and sustainable development needs. Optimal job scheduling is of great importance in reducing unnecessary energy consumption. To th...

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Vydáno v:	IEEE transactions on systems, man, and cybernetics. Systems Ročník 54; číslo 7; s. 4260 - 4272
Hlavní autoři:	Fu, Yaping, Zhou, Mengchu, Guo, Xiwang, Qi, Liang, Gao, Kaizhou, Albeshri, Aiiad
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.07.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Brain storm optimization Discrete event systems discrete-event simulation Energy consumption Energy efficiency energy-efficient scheduling Environmental protection Evolution hybrid open shop scheduling Job shop scheduling Manufacturing multiobjective optimization Multiple objective analysis Optimization Particle swarm optimization Production Scheduling Simulation Stochastic processes stochastic simulation Sustainable development Workstations
ISSN:	2168-2216, 2168-2232
On-line přístup:	Získat plný text
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