The Design of Innovation Lessons from and for Competent Genetic Algorithms
7 69 6 A DESIGN APPROACH TO PROBLEM DIFFICULTY 71 1 Design and Problem Difficulty 71 2 Three Misconceptions 72 3 Hard Problems Exist 76 4 The 3-Way Decomposition and Its Core 77 The Core of Intra-BB Difficulty: Deception 5 77 6 The Core of Inter-BB Difficulty: Scaling 83 7 The Core of Extra-BB Diffi...
| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer US
2002, 2002
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| Edition: | 1st ed. 2002 |
| Series: | Genetic Algorithms and Evolutionary Computation
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1 Genetic Algorithms and Innovation
- 2 Making Genetic Algorithms Fly
- 3 Three Tools of Conceptual Engineering
- 4 Goals and Elements of GA Design
- 5 Building Blocks
- 6 A Design Approach to Problem Difficulty
- 7 Ensuring Building Block Supply
- 8 Ensuring Building Block Growth
- 9 Making Time for Building Blocks
- 10 Deciding Well
- 11 Mixing, Control Maps, and GA Success
- 12 Design of Competent Genetic Algorithms
- Epilogue: From Competence to Efficiency and Beyond
- References