Leow Peter. Genetic Algorithms Demystified: Unravel the Myths and Power of Genetic Algorithms in Machine Learning

Amazon Digital Services LLC, 2016. — 54 p. — ASIN B01K5H3JQE.This book introduces the fundamental concepts of genetic algorithms in theory followed by a walk-through on the design and implementation of a genetic algorithms project.Applications
Minds-on
Core Concepts
Problem Modeling
Evolution Process
Stopping Criteria
Selection Methods
Fitness Proportionate Selection
Tournament Selection
Rank Selection
Crossover Operators
Single-point Crossover
Multi-point Crossover
Mutation Operators
Performance
When to Use
Caveats
Open Source Tools
Commercial Tools
Hands-on
Problem Description
Problem Model
Fitness Evaluation
Linear Rank Selection
Mutation
Evolution Scheme
Observations
System SchemaAbout the Author