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Record Nr. |
UNINA9910765485203321 |
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Autore |
Lu Chao |
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Titolo |
Intelligence Optimization for Green Scheduling in Manufacturing Systems |
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Pubbl/distr/stampa |
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Singapore : , : Springer, , 2023 |
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©2023 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (258 pages) |
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Collana |
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Engineering Applications of Computational Methods Series ; ; v.18 |
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Altri autori (Persone) |
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GaoLiang |
LiXinyu |
YinLvjiang |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Intro -- Preface -- Contents -- 1 System Overview -- References -- 2 Green Scheduling in Single-Machine Environment -- 2.1 Brief Introduction -- 2.2 Problem Statement and Modeling -- 2.2.1 Problem Statement -- 2.2.2 Mathematical Modeling -- 2.3 Proposed Algorithm -- 2.3.1 Encoding and Decoding -- 2.3.2 Crossover Operator -- 2.3.3 Mutation Operator -- 2.3.4 Local Search -- 2.3.5 Replacement Strategy -- 2.4 Experiments -- 2.4.1 Test Instances -- 2.4.2 Performance Metrics -- 2.4.3 LMOEA Against Other MOEAs -- 2.5 Conclusion -- References -- 3 Green Scheduling in Permutation Flow Shop Environment -- 3.1 Brief introduction -- 3.2 Problem Statement and Modeling -- 3.2.1 Problem Statement -- 3.2.2 Mathematical Modeling -- 3.3 Proposed Algorithm -- 3.3.1 Encoding Representation -- 3.3.2 Initialization -- 3.3.3 Selection-I -- 3.3.4 Crossover and Mutation -- 3.3.5 Selection-II -- 3.4 Case Study and Discussion -- 3.4.1 Case Introduction -- 3.4.2 Parameter Settings -- 3.4.3 Comparison of HMOBSA and the Other Two Algorithms -- 3.4.4 Analysis of Energy-Saving Scenario -- 3.5 Chapter Conclusion -- References -- 4 Green Scheduling in Hybrid Flow Shop Environment -- 4.1 Brief Introduction -- 4.2 Problem Statement and Modeling -- 4.2.1 Problem Statement -- 4.2.2 Mathematical Modeling -- 4.3 Proposed Algorithm -- 4.3.1 Encoding and Decoding -- 4.3.2 Initialization |
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