Evolutionary Computation

This page contains resources about Genetic Algorithms, Evolutionary Computation, Swarm Intelligence and Population-Based Metaheuristics in general.

More specific information is included in each subfield.

Contents

Subfields and Concepts

• Evolutionary Algorithms
• Genetic Algorithms
  • NeuroEvolution of Augmenting Topologies (NEAT) for the generation of evolving Artificial Neural Networks
• Genetic Programming
• Particle Swarm Optimization
• Swarm Algorithms
• Ant Colony Optimization
• Evolutionary Inductive Turing Machines
• Evolutionary Automata

Online Courses

Video Lectures

Lecture Notes

• Evolutionary Computation by Fernando Lobo

Books and Book Chapters

See also Bibliography

• Sheppard, C. (2016). Genetic Algorithms with Python. CreateSpace.
• Luke, S. (2009). Essentials of Metaheuristics. Lulu.
• Poli, R., Langdon, W. B., McPhee, N. F., & Koza, J. R. (2008). A field guide to genetic programming. Lulu.
• Sivanandam, S. N., & Deepa, S. N. (2008). Introduction to genetic algorithms. Springer.
• Brabazon, A., & O'Neill, M. (2006). Biologically inspired algorithms for financial modelling. Springer Science & Business Media.
• Haupt, R. L., & Haupt, S. E. (2004). Practical genetic algorithms. John Wiley & Sons.
• Eiben, A. E., & Smith, J. E. (2003). Introduction to evolutionary computing. Springer Science & Business Media.
• Bäck, T., Fogel, D. B., & Michalewicz, Z. (Eds.). (2000). Evolutionary computation 1: Basic algorithms and operators (Vol. 1). CRC Press.
• Bäck, T., Fogel, D. B., & Michalewicz, Z. (Eds.). (2000). Evolutionary computation 12: Advanced Algorithms and Operators (Vol. 2). Taylor & Francis.
• Mitchell, T. M. (1997). "Chapter 9: Genetics Algorithms". Machine Learning. McGraw Hill.
• Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley.

Software

• Genetic Algorithm - MATLAB
• MCMLL - C++
• Evolver - proprietary software that solves optimization problems using a genetic algorithm
• PyNeurGen - Python
• nevergrad - Python
• Pyevolve - Python

See also

• Machine Learning

Other Resources

• Evolutionary Computation - Google Scholar Metrics (Top Publications)
• Evolutionary Computation - Notebook
• GeneticAlgorithmsWithPython (GitHub) - code of the book GAWP by Sheppard
• NEAT: An Awesome Approach to NeuroEvolution - blog post