Metaheuristics in the Service Industry (eBook)
X, 171 Seiten
Springer Berlin (Verlag)
978-3-642-00939-6 (ISBN)
Most developed economics show the tendency of an increasing importance of modern services such as tourism, logistical services, finance, and others. In many cases, complex optimization problems can be found in this context, and the successful operation of modern services often depends on the ability to solve the obtained optimization models. Metaheuristics on the other hand present an interesting problem-resolution paradigm that has attracted considerable interest in past years. The book combines a set of selected and peer-reviewed articles, presenting novel results of metaheuristics for modern services. In particular, applications in the area of transportation and logistics are considered, while other areas include production and financial services. Novel methodological approaches as well as improved results are obtained, resulting in a considerable contribution to the state-of-the-art of research in metaheuristics.
Preface 5
Contents 7
Contributors 8
A Bicriteria Traveling Salesman Problem with Sequence Priorities 10
1 Introduction 10
2 Problem Statement 12
3 Algorithm Design 13
4 Experimental Results 20
5 Conclusions 22
References 22
Metaheuristics for Tourist Trip Planning 24
1 Introduction 24
2 Tourist Trip Design Problem 25
3 Guided Local Search and Variable Neighbourhood Search for the TOP 26
4 Iterated Local Search for the TOPTW 34
5 Conclusions and FurtherWork 37
Appendix 38
References 39
Solving Fuzzy Multi-item Economic Order Quantity Problems via Fuzzy Ranking Functions and Particle Swarm Optimization 41
1 Introduction 41
2 Ranking of Fuzzy Numbers 43
3 The PSO Algorithm 44
4 Fully Fuzzy Multi-item EOQ Model 46
5 Conclusions 51
References 51
Fixed and Variable Toll Pricing in Road Networks with Direct Search Metaheuristics 53
1 Introduction 53
2 Description of the Toll Design Problem 54
3 Bilevel Programming Formulation 55
4 Solution Procedures 58
5 Computational Experiments 62
6 Conclusions 67
References 68
Scatter Search for Locating a Treatment Plant and the Necessary Transfer Centers in a Reverse Network 70
1 Introduction 70
2 The Problem of Locating a Treatment Plant and a Set of Transfer Centers in a Reverse Network 71
3 Scatter Search Based Approach 76
4 Computational Results 81
5 Conclusions 87
References 88
Variable Neighbourhood Descent for Planning Crane Operations in a Train Terminal 89
1 Introduction 89
2 Problem Model 91
2 Problem Model 91
3 Decomposed Solution Approach 92
4 Computational Experiences 99
5 Conclusion and Future Research Directions 103
References 103
Design and Analysis of Evolutionary Algorithms for the No-Wait Flow-Shop Scheduling Problem 105
1 Introduction 105
2 The No-Wait Flow-Shop Scheduling Problem 106
3 Evolutionary Computation Algorithms 108
4 Distance Functions and Diversity Control 113
5 Computational Experiments 115
6 Conclusions 126
Appendix 126
References 129
Metaheuristics for the Index Tracking Problem 133
1 Introduction 133
2 Modeling the Index Tracking Problem 135
3 Metaheuristic Techniques for the Index problem 146
4 Conclusions 157
References 157
A Hybrid Algorithm for Vehicle Routing of Less-Than-Truckload Carriers 161
1 Introduction 161
2 Problem Description 162
3 Model Formulation 164
4 Solution Procedure 168
5 Computational Results 173
6 Conclusion 176
References 176
Erscheint lt. Verlag | 30.5.2009 |
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Reihe/Serie | Lecture Notes in Economics and Mathematical Systems | Lecture Notes in Economics and Mathematical Systems |
Zusatzinfo | X, 171 p. 42 illus. |
Verlagsort | Berlin |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Mathematik |
Technik | |
Wirtschaft ► Allgemeines / Lexika | |
Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion | |
Wirtschaft ► Betriebswirtschaft / Management ► Planung / Organisation | |
Schlagworte | algorithms • Calculus • evolutionary algorithm • logistics • Metaheuristic • Metaheuristics • Optimization • Production • Scheduling • Service Industry |
ISBN-10 | 3-642-00939-5 / 3642009395 |
ISBN-13 | 978-3-642-00939-6 / 9783642009396 |
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