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Tables of Contents for Genetic Algorithms
Chapter/Section Title
Page #
Page Count
Preface
v
Introduction, Background and Biological Inspiration
1
22
Biological Background
1
6
Coding of DNA
1
2
Flow of Genetic Information
3
2
Recombination
5
1
Mutation
6
1
Conventional Genetic Algorithm
7
4
Theory and Hypothesis
11
6
Schema Theory
11
5
Building Block Hypothesis
16
1
A Simple Example
17
6
Modifications to Genetic Algorithms
23
22
Chromosome Representation
23
2
Objective and Fitness Functions
25
1
Linear Scaling
25
1
Sigma Truncation
26
1
Power Law Scaling
26
1
Ranking
26
1
Selection Methods
26
2
Genetic Operations
28
3
Crossover
28
2
Mutation
30
1
Operational Rates Settings
30
1
Reordering
30
1
Replacement Scheme
31
1
A Game of Genetic Creatures
32
1
Chromosome Representation
32
1
Fitness Function
33
5
Genetic Operation
38
4
Selection Window for Functions and Parameters
38
4
Demo and Run
42
3
Intrinsic Characteristics
45
20
Parallel Genetic Algorithm
45
6
Global GA
46
1
Migration GA
46
4
Diffusion GA
50
1
Multiple Objective
51
3
Robustness
54
2
Multimodal
56
4
Constraints
60
5
Searching Domain
60
1
Repair Mechanism
60
1
Penalty Scheme
61
1
Specialized Genetic Operations
62
3
Hierarchical Genetic Algorithm
65
10
Biological Inspiration
66
1
Regulatory Sequences and Structural Genes
66
1
Active and Inactive Genes
66
1
Hierarchical Chromosome Formulation
67
3
Genetic Operations
70
1
Multiple Objective Approach
70
5
Iterative Approach
71
1
Group Technique
72
2
Multiple-Objective Ranking
74
1
Genetic Algorithms in Filtering
75
58
Digital IIR Filter Design
75
11
Chromosome Coding
78
2
The Lowest Filter Order Criterion
80
6
Time Delay Estimation
86
10
Problem Formulation
86
1
Genetic Approach
87
5
Results
92
4
Active Noise Control
96
37
Problem Formulation
96
5
Simple Genetic Algorithm
101
7
Multiobjective Genetic Algorithm Approach
108
6
Parallel Genetic Algorithm Approach
114
8
Hardware GA Processor
122
11
Genetic Algorithms in H-infinity Control
133
22
A Mixed Optimization Design Approach
133
22
Hierarchical Genetic Algorithm
137
1
Application I: The Distillation Column Design
138
9
Application II: Benchmark Problem
147
6
Design Comments
153
2
Hierarchical Genetic Algorithms in Computational Intelligence
155
44
Neural Networks
155
17
Introduction of Neural Network
156
2
HGA Trained Neural Network (HGANN)
158
5
Simulation Results
163
6
Application of HGANN on Classification
169
3
Fuzzy Logic
172
27
Basic Formulation of Fuzzy Logic Controller
174
5
Hierarchical Structure
179
5
Application I: Water Pump System
184
7
Application II: Solar Plant
191
8
Genetic Algorithms in Speech Recognition Systems
199
60
Background of Speech Recognition Systems
199
1
Block Diagram of a Speech Recognition System
200
3
Dynamic Time Warping
203
4
Genetic Time Warping Algorithm (GTW)
207
9
Encoding mechanism
208
1
Fitness function
208
1
Selection
209
1
Crossover
210
1
Mutation
210
1
Genetic Time Warping with Relaxed Slope Weighting Function (GTW-RSW)
211
1
Hybrid Genetic Algorithm
212
1
Performance Evaluation
212
4
Hidden Markov Model using Genetic Algorithms
216
22
Hidden Markov Model
218
1
Training Discrete HMMs using Genetic Algorithms
219
6
Genetic Algorithm for Continuous HMM Training
225
13
A Multiprocessor System for Parallel Genetic Algorithms
238
9
Implementation
241
6
Global GA for Parallel GA-DTW and PGA-HMM
247
10
Experimental Results of Nonlinear Time-Normalization By the Parallel GA-DTW
251
6
Summary
257
2
Genetic Algorithms in Production Planning and Scheduling Problems
259
22
Background of Manufacturing Systems
259
4
ETPSP Scheme
263
3
ETPSP Model
264
1
Bottleneck Analysis
265
1
Selection of Key-Processes
265
1
Chromosome Configuration
266
2
Operational Parameters for GA Cycles
266
2
GA Application for ETPSP
268
12
Case 1: Two-product ETPSP
268
2
Case 2: Multi-product ETPSP
270
5
Case 3: MOGA Approach
275
5
Concluding Remarks
280
1
Genetic Algorithms in Communication Systems
281
36
Virtual Path Design in ATM
282
6
Problem Formulation
282
1
Average packet delay
283
1
Constraints
283
1
Combination Approach
284
2
Implementation
286
1
Results
286
2
Mesh Communication Network Design
288
18
Design of Mesh Communication Networks
290
1
Network Optimization using GA
291
8
Implementation
299
1
Results
300
6
Wireless Local Area Network Design
306
11
Problem Formulation
306
2
Multiobjective HGA Approach
308
2
Implementation
310
1
Results
310
7
Appendix A
317
2
Appendix B
319
2
Appendix C
321
2
Appendix D
323
2
Appendix E
325
2
Appendix F
327
4
References
331
12
Index
343