| How to Print the Manual |
 | Chapter 1 - Getting Started |
| Chapter 1 - Getting Started Details |
| What GeneHunter Includes |
| System Requirements |
| Running GeneHunter as an Excel Add-In |
| Programming with GeneHunter |
| Running Example Programs |
| Serial Numbers |
| Product Support Information |
| Selling or Distributing Applications |
| Chapter 2 - What are Genetic Algorithms |
| Chapter 2 - What are Genetic Algorithms Details |
| Overview of the Terminology |
| Genetic Algorithms |
| Example of an Optimization Problem |
| Evolution and Genetic Algorithms |
| Solving Optimization Problems |
| Implementation Details |
| Chapter 3 - GeneHunter Excel Interface Reference |
| Chapter 3 - GeneHunter Excel Interface Reference Details |
| Starting GeneHunter |
| GeneHunter Dialog Screen |
| Fitness Function Cell |
| Adjustable Cells (Chromosomes) |
| Chromosome Type |
| Ranges (Hard Constraints) |
| Constraints (Soft Constraints) |
| Tolerance and Priority Parameters |
| Multiple Fitness Functions |
| Options |
| Population Parameters |
| Evolution Parameters |
| Screen Update |
| Set Random Seed |
| Show and Store Graph |
| Find X Best Solutions |
| Stop Evolution |
| Model |
| Solutions |
| Reset All Button |
| Chapter 4 - GeneHunter Tutorial for the Excel Interface |
| Chapter 4 - GeneHunter Tutorial for the Excel Interface Details |
| Exploring the Tutorial |
| Camping Trip Example |
| Tutorial Step 1 |
| Tutorial Step 2 |
| Tutorial Step 3 |
| Tutorial Step 4 |
| Tutorial Step 5 |
| Tutorial Step 6 |
| Tutorial Step 7 |
| Chapter 5 - GeneHunter Examples in Excel |
| Chapter 5 - GeneHunter Examples in Excel Details |
| Portfolio |
| Neural Net for Bob's Deli |
| NYSE Prediction |
| Traveling Salesman Problem |
| Scheduler |
| NYSE 2 Prediction |
| Polynomial Approximation |
| Portfolio Optimization |
| Clusters |
| Selecting Indicators |
| Chapter 6 - Programming Your Genetic Algorithms Using the DLL |
| Chapter 6 - Programming Your Genetic Algorithm Using the DLL Details |
| Overview of the GA Process |
| How to Build a Population |
| Writing the Fitness Function |
| The Evolutionary Loop |
| When Should the Algorithm Be Stopped |
| MAXI Program Code |
| Optimize Example |
| Chromosome Pools |
| Extinction |
| Diversity |
| Constraints and Penalties |
| Chapter 7 - Programming Combinatorial Problems with the DLL |
| Chapter 7 - Programming Combinatorial Problems with the DLL Details |
| Enumerated Chromosomes |
| Length of Continuous Chromosomes |
| Length of Enumerated Chromosomes |
| Programming the DLL for Combinatorial Problems |
| Traveling Salesman Problem |
| Chapter 8 - Programming Reference |
| Chapter 8 - Programming Reference Details |
| Chapter 9 - Global Constants and Error Messages |
| Chapter 9 - Global Constants and Error Messages Details |
| Global Constants |
| Function GA_error |
| Error Messages |
| Chapter 10 - Integrating Genetic Algorithms and Neural Networks |
| Chapter 10 - Integrating Genetic Algorithms and Neural Networks Details |
| Using Neural Networks as Fitness Functions |
| Appendix A - Genetic Algorithm Internals and Advanced Topics |
| Appendix A - Genetic Algorithm Internals and Advanced Topics Details |
| Probabilistic versus Deterministic Methods |
| Genetic Algorithms and Traditional Optimum Search Methods |
| Continuous Crossover |
| Crossover of Enumerated Chromosomes |
| Mutation of Continous Chromosomes |
| Mutation of Enumerated Chromosomes |
| Parameters of the Evolutionary Operators |
| Selection Strategies |
| Binary and Enumerated Chromosomes in GALIB |
| Appendix B - Glossary |
| Appendix B - Glossary Details |
| Appendix C - References |
| Appendix C - References Details |
| Changes From Previous Releases |
| Changes from 1.0 or 1.1 to 2.0 |
| Changes from 2.0 to 2.1 |
| Changes from 2.1 to 2.2 |
| Changes from 2.2 to 2.3 |
| Changes from 2.3 to 2.4 |
| Changes from 2.4 to 3.0 |
© 2008 Ward Systems Group Inc.