Overview

This is the first book devoted entirely to Particle Swarm Optimization (PSO), which is a non-specific algorithm, similar to evolutionary algorithms, such as taboo search and ant colonies.Since its original development in 1995, PSO has mainly been applied to continuous-discrete heterogeneous strongly non-linear numerical optimization and it is thus used almost everywhere in the world. Its convergence rate also makes it a preferred tool in dynamic optimization.Particle Swarm Optimization explains the basic principles of the subject, particularly the concepts of particles, information link, memory and cooperation. Starting from a simple but efficient parametric version coded in a few lines, it shows how this can be gradually enhanced to lead to a fully adaptive version. All source programs are either included in the book or are downloadable for free.Part 1. Particle Swarm Optimization: 1. What is a difficult problem? 2. On a table corner. 3. First formulations. 4. Benchmark set. 5. Mistrusting chance. 6. First results. 7. Swarm: memory and influence graphs. 8. Distributions of proximity. 9. Optimal parameter settings. 10. Adaptations. 11. TRIBES or co-operation of tribes. 12. On the constraints. 13. Problems and applications. 14. Conclusion.Part 2. Outlines: 15. On parallelism. 16. Combinatorial Problems. 17. Dynamics of a swarm. 18. Techniques and alternatives.

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9781280510564

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