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.
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