Randy L. Haupt, Sue Ellen Haupt, "Practical genetic algorithms"

 

John Wiley & Sons, Inc., New York, USA, 1998
ISBN 0-471-18873-5

 

Preface (xi)
List of Symbols (xiii)
1. Introduction to Optimization (1)
1.1. Finding the Best Solution (2)
1.2. Minimum Seeking Algorithms (6)
1.3. Natural Optimization Methods (16)
1.4. Biological Optimization: Natural Selection (18)
Bibliography (23)
2. The Binary Genetic Algorithm (25)
2.1. Genetic Algorithms: Natural Selection on a Computer (25)
2.2. Components of a Binary Genetic Algorithm (27)
2.3. A Parting Look (48)
Bibliography (48)
3. The Continuous Parameter Genetic Algorithm (49)
3.1. Components of a Continuous Parameter Genetic Algorithm (50)
3.2. A Parting Look (62)
Bibliography (64)
4. Applications (66)
4.1. "Mary Had a Little Lamb" (66)
4.2. Word Guess (70)
4.3. Locating an Emergency Response Unit (74)
4.4. Antenna Array Design (77)
4.5. Summary (83)
Bibliography (84)
5. An Added Level of Sophistication (85)
5.1. Handling Expensive Cost Functions (85)
5.2. Gary Codes (88)
5.3. Gene Size (91)
5.4. Population (91)
5.5. Convergence (102)
5.6. Alternative Crossovers for Binary Genetic Algorithms (104)
5.7. Mutation (106)
5.8. Permutation Problems (108)
5.9. Selecting Genetic Algorithm Parameters (113)
5.10. Continuous vs. Binary Genetic Algorithm (116)
Bibliography (116)
6. Advanced Applications (119)
6.1. Traveling Salesman (120)
6.2. Locating an Emergency Response Unit Revisited (123)
6.3. Decoding a Secret Message (123)
6.4. Robot Trajectory Planning (126)
6.5. Stealth Design (131)
6.6. Building a Dynamical Inverse Model (136)
6.7. Solving High-Order Nonlinear Partial Differential Equations (140)
Bibliography (143)
7. Evolutionary Trends (146)
7.1. The Past (146)
7.2. The Present (147)
7.3. The Future (154)
Bibliography (155)
Appendix A. Pseudocodes (159)
Glossary (167)
Index (175)

 

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