Particle Swarm Optimization: Theory, Techniques and Applications : Theory, Techniques and Applications

✍ Scribed by Andrea E. Olsson

Publisher: Nova Science Publishers, Incorporated
Year: 2010
Tongue: English
Leaves: 319
Series: Engineering Tools, Techniques and Tables
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Subjects

Swarm intelligence. ; Mathematical optimization.; COM004000; MAT029040

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