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  • Search: person:"Le, Zuo"
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Year of publication
Subject
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NSGA-II 2 blood variation 2 energy consumption 2 flexible job-shop scheduling 2 multi-objective scheduling 2 Algorithm 1 Algorithmus 1 Energiekonsum 1 Energy consumption 1 Evolutionary algorithm 1 Evolutionärer Algorithmus 1 Flexible manufacturing system 1 Flexibles Fertigungssystem 1 Multi-criteria analysis 1 Multikriterielle Entscheidungsanalyse 1 Production control 1 Produktionssteuerung 1 Scheduling problem 1 Scheduling-Verfahren 1
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Online availability
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Free 2
Type of publication
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Article 2
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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E, Mingcheng 2 Jiang, Zengqiang 2 Le, Zuo 2
Published in...
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Journal of Industrial Engineering and Management (JIEM) 1 Journal of industrial engineering and management : JIEM 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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Study on multi-objective flexible job-shop scheduling problem considering energy consumption
Jiang, Zengqiang; Le, Zuo; E, Mingcheng - In: Journal of industrial engineering and management : JIEM 7 (2014) 3, pp. 589-604
Purpose: Build a multi-objective Flexible Job-shop Scheduling Problem(FJSP) optimization model, in which the makespan, processing cost, energy consumption and cost-weighted processing quality are considered, then Design a Modified Non-dominated Sorting Genetic Algorithm (NSGA-II) based on blood...
Persistent link: https://www.econbiz.de/10011912419
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Cover Image
Study on multi-objective flexible job-shop scheduling problem considering energy consumption
Jiang, Zengqiang; Le, Zuo; E, Mingcheng - In: Journal of Industrial Engineering and Management (JIEM) 7 (2014) 3, pp. 589-604
Purpose: Build a multi-objective Flexible Job-shop Scheduling Problem(FJSP) optimization model, in which the makespan, processing cost, energy consumption and cost-weighted processing quality are considered, then Design a Modified Non-dominated Sorting Genetic Algorithm (NSGA-II) based on blood...
Persistent link: https://www.econbiz.de/10011939138
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