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Swarm Intelligence for Electromagnetic Problem Solving
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Author(s): Luciano Mescia (Politecnico di Bari, Italy), Pietro Bia (EmTeSys Srl, Italy), Diego Caratelli (The Antenna Company, The Netherlands & Tomsk Polytechnic University, Russia)and Johan Gielis (University of Antwerp, Belgium)
Copyright: 2017
Pages: 32
Source title:
Handbook of Research on Soft Computing and Nature-Inspired Algorithms
Source Author(s)/Editor(s): Shishir K. Shandilya (Bansal Institute of Research and Technology, India), Smita Shandilya (Sagar Institute of Research Technology and Science, India), Kusum Deep (Indian Institute of Technology Roorkee, India)and Atulya K. Nagar (Liverpool Hope University, UK)
DOI: 10.4018/978-1-5225-2128-0.ch003
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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.
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