Chapter 3 Swarm Intelligence and Particle Swarm Optimization
This chapter is devoted to the theoretical foundation of particle swarm optimization, the latest PSO algorithm advances, neural network optimization methods and illustrative examples. The standard bio-inspired particle swarm algorithm is presented and some important variations of the PSO algorithm are explained and analyzed such as: Quantum PSO algorithm with delta potential well and harmonic oscillator, Chaotic PSO, mutation-based PSO and multi-objective PSO. Advanced aspects and variants of particle swarm optimization are discussed, such as: swarm topologies, boundary approaches, swarm initialization techniques, stopping criteria and swarm mutation operators, bringing to the reader ...
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