Abstract
Inspired by animal behavior, Eberhart and Kennedy [49, 22] proposed in 1995 an optimization method called Particle Swarm Optimization (PSO). In this approach, a swarm of particles simultaneously explore a problem’s search space with the goal of finding the global optimum configuration.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Chopard, B., Tomassini, M. (2018). Particle Swarm Optimization. In: An Introduction to Metaheuristics for Optimization. Natural Computing Series. Springer, Cham. https://doi.org/10.1007/978-3-319-93073-2_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-93073-2_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93072-5
Online ISBN: 978-3-319-93073-2
eBook Packages: Computer ScienceComputer Science (R0)