GeneHunter

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• How to Print the Manual
• Chapter 1 - Getting Started
  • Chapter 1 - Getting Started Details
  • What GeneHunter Includes
  • 32-bit and 64-bit Versions of Excel
  • 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
  • Starting GeneHunter
  • GeneHunter Main Dialog Screen
  • Fitness Function Cell
  • Adjustable Cells (Chromosomes)
  • Chromosome Type
  • Ranges (Hard Constraints)
  • Constraints (Soft Constraints)
  • Tolerance and Priority Parameters
  • Multiple Fitness Functions
  • Options
  • Optimization Methods
  • Population Parameters
  • Classic GeneHunter Parameters
  • Screen Update
  • Additional Features
  • 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
  • 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 Continuous Chromosomes
  • Mutation of Enumerated Chromosomes
  • Parameters of the Evolutionary Operators
  • Selection Strategies
  • Binary and Enumerated Chromosomes in GALIB
• Appendix B - Glossary
  • Appendix B - Glossary
• Appendix C - References
  • Appendix C - References
• 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
  • Changes from 3.0 to 4.0

© 2014 Ward Systems Group Inc.