Examples¶

This section contains some documented examples of common toy problems often encountered in the evolutionary computation community. Note that there are several other examples in the deap/examples sub-directory of the framework. These can be used has ground work for implementing your own flavour of evolutionary algorithms.

Genetic Algorithm (GA)¶

• One Max Problem
• One Max Problem: Short Version
• One Max Problem: Using Numpy
• Knapsack Problem: Inheriting from Set
• Cooperative Coevolution

Genetic Programming (GP)¶

• Symbolic Regression Problem: Introduction to GP
• Even-Parity Problem
• Multiplexer 3-8 Problem
• Artificial Ant Problem
• Spambase Problem: Strongly Typed GP

Evolution Strategy (ES)¶

• Evolution Strategies Basics
• One Fifth Rule
• Covariance Matrix Adaptation Evolution Strategy
• Controlling the Stopping Criteria: BI-POP CMA-ES
• Plotting Important Data: Visualizing the CMA Strategy

Particle Swarm Optimization (PSO)¶

• Particle Swarm Optimization Basics
• Moving Peaks Benchmark with Multiswarm PSO

Estimation of Distribution Algorithms (EDA)¶

Table Of Contents

• Examples
  • Genetic Algorithm (GA)
  • Genetic Programming (GP)
  • Evolution Strategy (ES)
  • Particle Swarm Optimization (PSO)
  • Estimation of Distribution Algorithms (EDA)

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