Particle swarm optimization (PSO) is an algorithm modeled on swarm intelligence that finds a solution to an optimization problem in a search space or model and predicts social behavior in the presence of objectives. The PSO is a stochastic, population-based computer algorithm modeled on swarm intelligence. Swarm intelligence is based on social-psychological principles and provides insights into social behavior, as well as contributing to engineering applications. This book presents information on particle swarm optimization such as using mono-objective and multi-objective particle swarm optimization for the tuning of process control laws; convergence issues in particle swarm optimization and vehicle routing problems using enhanced particle swarm optimization.
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