Abstract
Swarm-based intelligence is a recently developed area of computational intelligence that offers a powerful framework for solving complex optimization problems. It has found applications in various scientific fields where optimization of one or more functions is required. There are several methods developed under the umbrella of swarm intelligence, and particle swarm optimization (PSO) is one of them. This chapter presents swarm intelligence and its applications in industrial engineering as well as nuclear power plants and PSO is used to illustrate the potential of such an implementation. The roadmap of the chapter is as follows: Sec. 9.1 provides an introduction to swarm intelligence and the following section presents particle swarm optimization. A discussion on the implementation of PSO in industrial engineering problems is given in Sec. 9.3 while PSO applications in nuclear power plants (NPP) are presented in Sec. 9.4. Section 9.5 concludes the chapter.
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Alamaniotis, M., Ikonomopoulos, A., Tsoukalas, L.H. (2012). Swarm Intelligence Optimization: Applications of Particle Swarms in Industrial Engineering and Nuclear Power Plants. In: Kahraman, C. (eds) Computational Intelligence Systems in Industrial Engineering. Atlantis Computational Intelligence Systems, vol 6. Atlantis Press, Paris. https://doi.org/10.2991/978-94-91216-77-0_9
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DOI: https://doi.org/10.2991/978-94-91216-77-0_9
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