دفترچه راهنمای عملی الگوریتم های ژنتیک: مرزهای جدید، جلد دوم ۲۰۱۹
The Practical Handbook of Genetic Algorithms: New Frontiers, Volume II 2019

1. Cover

2. Title Page

3. Copyright Page

4. Preface

5. Table of Contents

6. Chapter 0: Multi-Niche Crowding for Multi-Modal Search

7. Chapter 1: Artificial Neural Network Evolution: Learning to Steer a Land Vehicle

8. Chapter 2: Locating Putative Protein Signal Sequences

9. Chapter 3: Selection Methods for Evolutionary Algorithms

10. Chapter 4: Parallel Cooperating Genetic Algorithms: An Application to Robot Motion Planning

11. Chapter 5: The Boltzmann Selection Procedure

12. Chapter 6: Structure and Performance of Fine-Grain Parallelism in Genetic Search

13. Chapter 7: Parameter Estimation for a Generalized Parallel Loop Scheduling Algorithm

14. Chapter 8: Controlling a Dynamic Physical System Using Genetic-Based Learning Methods

15. Chapter 9: A Hybrid Approach Using Neural Networks. Simulation. Genetic Algorithms, and Machine Learning for Real-Time Sequencing and Scheduling Problems

16. Chapter 10: Chemical Engineering

17. Chapter 11: Vehicle Routin1 with Time Windows usin1 Genetic Algorithms

18. Chapter 12: Evolutionary Algorithms and Dialogue

19. Chapter 13: Incorporating Redundancy and Gene Activation Mechanisms in Genetic search for adapting to Non-Stationarv Environments.

20. Chapter 14: Input Space Segmentation with a Genetic Algorithm for Generation of Rule Based Classifier Systems

21. Appendix 1: An Indexed Bibliography of Genetic Algorithms

22. Index