- Genetic Algorithms Tutorial
- Genetic Algorithms – Home
- Genetic Algorithms – Introduction
- Genetic Algorithms – Fundamentals
- Genotype Representation
- Genetic Algorithms – Population
- Genetic Algorithms – Fitness Function
- Genetic Algorithms – Parent Selection
- Genetic Algorithms – Crossover
- Genetic Algorithms – Mutation
- Survivor Selection
- Termination Condition
- Models Of Lifetime Adaptation
- Effective Implementation
- Advanced Topics
- Application Areas
- Further Readings
- Genetic Algorithms Resources
- Genetic Algorithms - Quick Guide
- Genetic Algorithms - Resources
- Genetic Algorithms - Discussion
Genetic Algorithms - Further Readings
The following books can be referred to further enhance the reader’s knowledge of Genetic Algorithms, and Evolutionary Computation in general −
Genetic Algorithms in Search, Optimization and Machine Learning by David E. Goldberg.
Genetic Algorithms + Data Structures = Evolutionary Programs by Zbigniew Michalewicz.
Practical Genetic Algorithms by Randy L. Haupt and Sue Ellen Haupt.
Multi Objective Optimization using Evolutionary Algorithms by Kalyanmoy Deb.
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