Genetic Programming for Production Scheduling
portes grátis
Genetic Programming for Production Scheduling
An Evolutionary Learning Approach
Zhang, Fangfang; Nguyen, Su; Mei, Yi; Zhang, Mengjie
Springer Verlag, Singapore
11/2021
336
Dura
Inglês
9789811648588
15 a 20 dias
723
Descrição não disponível.
Part I Introduction.- 1 Introduction.- 2 Preliminaries.- Part II Genetic Programming for Static Production Scheduling Problems.- 3 Learning Schedule Construction Heuristics.- 4 Learning Schedule Improvement Heuristics.- 5 Learning to Augment Operations Research Algorithms.- Part III Genetic Programming for Dynamic Production Scheduling Problems.- 6 Representations with Multi-tree and Cooperative Coevolution.- 7 E?ciency Improvement with Multi-?delity Surrogates.- 8 Search Space Reduction with Feature Selection.- 9 Search Mechanism with Specialised Genetic Operators.- Part IV Genetic Programming for Multi-objective Production Scheduling Problems.- 10 Learning Heuristics for Multi-objective Dynamic Production Scheduling Problems.- 11 Cooperative Coevolutionary for Multi-objective Production Scheduling Problems.- 12 Learning Scheduling Heuristics for Multi-objective Dynamic Flexible Job Shop Scheduling.- Part V Multitask Genetic Programming for Production Scheduling Problems.- 13 Multitask Learning in Hyper-heuristic Domain with Dynamic Production Scheduling.- 14 Adaptive Multitask Genetic Programming for Dynamic Job Shop Scheduling.- 15 Surrogate-Assisted Multitask Genetic Programming for Learning Scheduling Heuristics.- Part VI Conclusions and Prospects.- 16 Conclusions and Prospects.
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Production Scheduling;Machine Learning;Hyper-Heuristic Learning;Genetic Programming;Multitask Optimisation;Multi-Objective Optimisation;Heuristics
Part I Introduction.- 1 Introduction.- 2 Preliminaries.- Part II Genetic Programming for Static Production Scheduling Problems.- 3 Learning Schedule Construction Heuristics.- 4 Learning Schedule Improvement Heuristics.- 5 Learning to Augment Operations Research Algorithms.- Part III Genetic Programming for Dynamic Production Scheduling Problems.- 6 Representations with Multi-tree and Cooperative Coevolution.- 7 E?ciency Improvement with Multi-?delity Surrogates.- 8 Search Space Reduction with Feature Selection.- 9 Search Mechanism with Specialised Genetic Operators.- Part IV Genetic Programming for Multi-objective Production Scheduling Problems.- 10 Learning Heuristics for Multi-objective Dynamic Production Scheduling Problems.- 11 Cooperative Coevolutionary for Multi-objective Production Scheduling Problems.- 12 Learning Scheduling Heuristics for Multi-objective Dynamic Flexible Job Shop Scheduling.- Part V Multitask Genetic Programming for Production Scheduling Problems.- 13 Multitask Learning in Hyper-heuristic Domain with Dynamic Production Scheduling.- 14 Adaptive Multitask Genetic Programming for Dynamic Job Shop Scheduling.- 15 Surrogate-Assisted Multitask Genetic Programming for Learning Scheduling Heuristics.- Part VI Conclusions and Prospects.- 16 Conclusions and Prospects.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
