摘要 | 第5-7页 |
Abstract | 第7-9页 |
Abbreviations | 第14-15页 |
1 Introduction | 第15-64页 |
1.1 Problem analysis | 第20-31页 |
1.2 The purpose and significance of research | 第31-36页 |
1.2.1 Purpose of research | 第31-35页 |
1.2.2 Significance of research | 第35-36页 |
1.3 Domestic and foreign research | 第36-57页 |
1.3.1 Summary of Domestic Research | 第36-42页 |
1.3.2 Summary of Foreign Studies | 第42-57页 |
1.4 Research Process | 第57-58页 |
1.5 Method Employed and Data Collection | 第58-60页 |
1.6 Structure of the thesis | 第60-63页 |
Summary | 第63-64页 |
2 Application of MILP and fuzzy method in the location problem | 第64-91页 |
2.1 Model formulations under demand uncertainty | 第66-80页 |
2.1.1 Model Assumptions | 第67页 |
2.1.2 Model objective | 第67-70页 |
2.1.3 Model Indexes, Parameters, and Variables | 第70-75页 |
2.1.4 Model constraints | 第75-80页 |
2.2 Multi-objective optimization with uncertain demands | 第80-83页 |
2.3 Warehouse location model under electronic commerce | 第83-86页 |
2.4 Logistic location model under comprehensive evaluation | 第86-87页 |
2.5 Research on Logistic Location model and Fuzzy Comprehensive Evaluation | 第87-89页 |
2.5.1 Multi objective under fuzzy goal | 第87-89页 |
Summary | 第89-91页 |
3 A Multi-Population Particle Swarm Algorithm for Multi-objective VehicleTransportation Problem | 第91-100页 |
3.1 The model of multi-objective programming of vehicle transportation | 第91-94页 |
3.2 The method of non-inferior solution | 第94-97页 |
3.2.1 The definition of non-inferior solution | 第94-95页 |
3.2.2 Fitness function Fit(x) | 第95-96页 |
3.2.3 Constraint handling | 第96-97页 |
3.3 Multi-Population Particle Swarm Algorithm with random parameters | 第97-99页 |
Summary | 第99-100页 |
4 Model Simulation and Case Study | 第100-139页 |
4.1 Background of the case | 第100-107页 |
4.2 Case Introduction | 第107-113页 |
4.3 Solving by the method of mixed-integer linear program (MILP) | 第113-121页 |
4.4 Solving with fuzzy method | 第121-127页 |
4.5 Results of the multi-objective vehicle transportation problem | 第127-129页 |
4.6 Establishment of e-commerce logistics optimization system | 第129-137页 |
Summary | 第137-139页 |
5 Conclusion & Future Research | 第139-146页 |
5.1 Conclusion | 第139-144页 |
5.2 Future research | 第144-146页 |
References | 第146-156页 |
Achievements during the Ph.D degree program | 第156-157页 |
Acknowledgements | 第157-158页 |
Appendix | 第158-193页 |
Appendix I: parameters of an illustrative example | 第158-163页 |
Appendix II | 第163-171页 |
Appendix III : result of single TC (PP) by lingo | 第171-183页 |
Appendix IV: Results of Comprehensive Evaluation Method | 第183-188页 |
Appendix V:Results of Fuzzy method solutions | 第188-193页 |
附件 | 第193页 |