柔性作业车间调度问题及其智能优化算法(英文版)/智能科学技术著作丛书 chm umd 阿里云 下载 夸克云 pdf azw3 kindle

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Preface

Chapter 1 A hybrid tabu search algorithm for FJSP

1.1 Introduction

1.2 Problem deion and formulation

1.3 Related algorithm and theory

1.3.1 Tabu search algorithm

1.3.2 Critical path theory

1.4 The hybrid algorithm framework

1.4.1 Coding

1.4.2 Initialization of solutions

1.4.3 Public critical blocks

1.4.4 Nei orhood for machine assignment component

1.4.5 Nei orhood for operation scheduling component

1.4.6 The hybrid algorithm framework

1.5 Experimental results

1.5.1 Experimental setup

1.5.2 Test instances of the Kacem instances

1.5.3 Test instances of the BRdata

1.6 Conclusion

References

Chapter 2 A hybrid tabu search for multi-objective FJSP

2.1 Introduction

2.2 Problem formulation

2.3 Framework of the hybrid algorithm

2.4 Assignment algorithm: tabu search algorithm

2.4.1 Tabu search algorithm

2.4.2 Encoding

2.4.3 Parameter settings

2.4.4 Local search

2.5 Scheduling algorithm: variable nei orhood search

2.5.1 Left-shift based decoding

2.5.2 Public critical block

2.5.3 Variable nei orhood search

2.6 Experimental results

2.6.1 Results of Kacem instances

2.6.2 Results of BRdata

2.7 Conclusion

References

Chapter 3 A hybrid VNS algorithm for multi-objective FJSP

3.1 Introduction

3.2 Problem formulation

3.3 Framework of the hybrid algorithm

3.4 Machine assignment algorithm: the genetic algorithm

3.4.1 Genetic algorithm

3.4.2 Encoding

3.4.3 Initialization of machine assignment component

3.4.4 Crossover operation

3.4.5 Mutation operation

3.5 Operation sequencing algorithm: variable nei orhood search algorithm

3.5.1 Initialization of the operation sequencing component

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