A novel algorithm to scheduling optimization of melting-casting process in copper alloy strip production

DOI10.1155/2015/147980zbMath1418.90125OpenAlexW2151495968WikidataQ59105307 ScholiaQ59105307MaRDI QIDQ1723199

Jianwen Guo, Xiaohui Yan, Kaishun Hu, Zhicong Zhang, Shuai Li

Publication date: 19 February 2019

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/147980

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)

Uses Software

• MOEA/D
• ABC

Cites Work

• A hybrid artificial bee colony optimizer by combining with life-cycle, Powell's search and crossover
• A hybrid multi-objective artificial bee colony algorithm for burdening optimization of copper strip production
• A hybrid particle swarm optimization and tabu search algorithm for order planning problems of steel factories based on the make-to-stock and make-to-order management architecture
• Solving multiobjective optimization problems using artificial bee colony algorithm
• A novel hybrid algorithm for scheduling steel-making continuous casting production
• Nonlinear multiobjective optimization
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
• A novel evolution strategy for multiobjective optimization problem

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