生物地理学优化算法与应用：英文版郑宇军等著科学 pdf下载

基本信息

书名:生物地理学优化算法与应用：英文版

定价：128元

作者:郑宇军等 著

出版社：科学出版社

出版日期：2019-01-01

ISBN：9787030605283

字数：

页码：217

版次：1

装帧：精装

开本：16开

商品重量：

编辑推荐

内容提要

This book introduces readers to the background general framework, maioperators, and other basic characteristics of biogeography-based optimizatio(BBO), which is aemerging branch of bio-inspired putation. Iparticular, the book presents the authors’ recent work oimproved variants of BBO, hybridizatioof BBO with other algorthms, and the applicatioof BBO to a variety of domains including transporta-tion, image processing, and neural work learning. The content will help to advance research and applicatioof not only BBO but het whole field of bio-inspired pu-tation. The algorithms and applications are organized ia step-by-step manner and clearly described with the help of pscudo-codes and flowcharts. The readers will learnot only the basic concepts of BBO but also how to apply and adapt the lagorithms to the engineering optimizatioproblems they actually encounter.

目录

Contents
1 OptimizatioProblems and Algorithms 1
1.1 Introductio1
1.2 OptimizatioProblems 2
1.2.1 Continuous OptimizatioProblems 2
1.2.2 Combinatorial OptimizatioProblems 5
1.3 Exact OptimizatioAlgorithms 7
1.3.1 Gradient-Based Algorithms 7
1.3.2 Linear Programming Algorithm 8
1.3.3 Branch-and-Bound 9
1.3.4 Dynamic Programming 11
1.4 Heuristic OptimizatioAlgorithms 12
1.4.1 Geic Algorithms 12
1.4.2 Simulated Annealing 14
1.4.3 Ant Colony Optimizatio16
1.4.4 Particle Swarm Optimizatio17
1.4.5 Differential Evolutio18
1.4.6 Harmony Search 19
1.4.7 Fireworks Algorithm 21
1.4.8 Water Wave Optimizatio22
1.5 Summary 24
References 24
2 Biogeography-Based Optimizatio27
2.1 Introductio27
2.2 Background of Biogeography 27
2.3 The Basic Biogeography-Based OptimizatioAlgorithm 32
2.3.1 The MigratioOperator 32
2.3.2 The MutatioOperator 33
2.3.3 The Algorithmic Framework 34
2.3.4 Comparisowith Some Classical Heuristics 35
2.4 Recent Advances of Biogeography-Based Optimizatio36
2.4.1 Improved Biogeography-Based OptimizatioAlgorithms 36
2.4.2 Adaptioof BBO for Constrained Optimizatio40
2.4.3 Adaptioof BBO for Multi-objective Optimizatio43
2.4.4 Adaptioof BBO for Combinatorial Optimizatio45
2.5 Summary 47
References 47
3 Localized Biogeography-Based Optimization: Enhanced by Local Topologies 51
3.1 Introductio51
3.2 PopulatioTopology 51
3.2.1 Global Topology 51
3.2.2 Local Topologies 53
3.2.3 Research of Heuristic Algorithms with Local Topologies 56
3.3 Localized Biogeography-Based OptimizatioAlgorithms 57
3.3.1 Local-BBO with the Ring Topology 57
3.3.2 Local-BBO with the Square Topology 58
3.3.3 Local-BBO with the Random Topology 58
3.4 Computational Experiments 61
3.5 Summary 66
References 66
4 Ecogeography-Based Optimization: Enhanced by Ecogeographic Barriers and Differentiations 69
4.1 Introductio69
4.2 Background of Ecogeography 69
4.3 The Ecogeography-Based OptimizatioAlgorithm 71
4.3.1 Local Migratioand Global Migratio71
4.3.2 MigratioBased oMaturity 72
4.3.3 The Algorithmic Framework of EBO 72
4.4 Computational Experiments 73
4.4.1 Experimental Settings 73
4.4.2 Impact of the Immaturity Index η 74
4.4.3 Comparisoof the 10-D Functions 74
4.4.4 Comparisoof the 30-D Functions 78
4.4.5 Comparisoof the 50-D Functions 83
4.4.6 Discussio83
4.5 Summary 86
References .87
5 Hybrid Biogeography-Based OptimizatioAlgorithms 89
5.1 Introductio89
5.2 Hybridizatiowith Differential Evolutio89
5.2.1 The DE/BBO Algorithm 89
5.2.2 Local-DE/BBO 91
5.2.3 Self-adaptive DE/BBO 97
5.3 Hybridizatiowith Harmony Search 104
5.3.1 Biogeographic Harmony Search 104
5.3.2 Computational Experiments 105
5.4 Hybridizatiowith Fireworks Algorithm 109
5.4.1 A Hybrid BBO and FWA Algorithm 109
5.4.2 Computational Experiments 110
5.5 Summary 114
References 114
6 Applicatioof Biogeography-Based OptimizatioiTransportatio117
6.1 Introductio117
6.2 BBO for General TransportatioPlanning 117
6.2.1 A General TransportatioPlanning Problem 117
6.2.2 BBO Algorithms for the Problem 119
6.2.3 Computational Experiments 119
6.3 BBO for Emergency TransportatioPlanning 123
6.3.1 AEmergency TransportatioPlanning Problem 123
6.3.2 A BBO Algorithm for the Problem 124
6.3.3 Computational Experiments 125
6.4 BBO for Emergency Railway WagoScheduling 127
6.4.1 AEmergency Railway WagoScheduling Problem 128
6.4.2 A Hybrid BBO/DE Algorithm for the Problem 131
6.4.3 Computational Experiments 134
6.5 BBO for Emergency Air Transportatio137
6.5.1 AEmergency Air TransportatioProblem 137
6.5.2 BHS and EBO Algorithms for the Problem 139
6.5.3 Computational Experiments 139
6.6 Summary 140
References 141
7 Applicatioof Biogeography-Based OptimizatioiJob Scheduling 143
7.1 Introductio143
7.2 BBO for Flow-Shop Scheduling 143
7.2.1 Flow-Shop Scheduling Problem 143
7.2.2 A BBO Algorithm for FSP 146
7.2.3 Computational Experiments 147
7.3 BBO for Job-Shop Scheduling 149
7.3.1 Job-Shop Scheduling Problem 149
7.3.2 AEnhanced BBO Algorithm for the Problem 151
7.3.3 Computational Experiments 153
7.4 BBO for Maintenance Job Assignment and Scheduling 156
7.4.1 A Maintenance Job Assignment and Scheduling Problem 156
7.4.2 A Multi-objective BBO Algorithm for the Problem 158
7.4.3 Computational Experiments 160
7.5 BBO for University Course Timetabling 163
7.5.1 A University Course Timetabling Problem 163
7.5.2 A Discrete EBO Algorithm for UCTP 166
7.5.3 Computational Experiments 169
7.6 Summary 173
References 173
8 Applicatioof Biogeography-Based OptimizatioiImage Processing 177
8.1 Introductio177
8.2 BBO for

作者介绍

序言