The chapter will describe the potential of the swarm intelligence and in particular quantum PSO-based algorithm, to solve complicated electromagnetic problems. This task is accomplished through addressing the design and analysis challenges of some key real-world problems. A detailed definition of the conventional PSO and its quantum-inspired version are presented and compared in terms of accuracy and computational burden. Some theoretical discussions concerning the convergence issues and a sensitivity analysis on the parameters influencing the stochastic process are reported.
Swarm Intelligence for Electromagnetic Problem Solving / Mescia, Luciano; Bia, Pietro; Caratelli, Diego; Gielis, Johan (ADVANCES IN COMPUTATIONAL INTELLIGENCE AND ROBOTICS BOOK SERIES). - In: Handbook of Research on Soft Computing and Nature-Inspired Algorithms / [a cura di] Shishir K. Shandilya, et el.. - Hershey, PA : IGI Global, 2017. - ISBN 9781522521280. - pp. 69-100 [10.4018/978-1-5225-2128-0.ch003]
Swarm Intelligence for Electromagnetic Problem Solving
MESCIA, Luciano;BIA, Pietro;
2017-01-01
Abstract
The chapter will describe the potential of the swarm intelligence and in particular quantum PSO-based algorithm, to solve complicated electromagnetic problems. This task is accomplished through addressing the design and analysis challenges of some key real-world problems. A detailed definition of the conventional PSO and its quantum-inspired version are presented and compared in terms of accuracy and computational burden. Some theoretical discussions concerning the convergence issues and a sensitivity analysis on the parameters influencing the stochastic process are reported.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
