Description
With growing developments in artificial intelligence and focus on swarm behaviors; algorithms have been utilized in solving a variety of problems in the field of engineering. This approach has been specifically suited to face the challenges in electric and electronic engineering.
Swarm Intelligence for Electric and Electronic Engineering provides an exchange of knowledge on the advances, discoveries, and improvements of swarm intelligence in electric and electronic engineering. This comprehensive collection aims to bring together new swarm-based algorithms as well as approaches to complex problems and various real-world applications.
Reviews and Testimonials
Electrical and electronic engineers survey how algorithms that mimic the interaction of social animals can be used in the design and optimization of circuits, antenna and optical devices, control, and scheduling and diagnosis. Their topics include designing and optimizing microwave circuits and devices with particle swarm optimizer, a particle swarm optimization algorithm in reconfigurable radiators and cancer detection as case studies of electromagnetics, the optimal design and characterization of fiber amplifiers doped with rare earths, using swarm intelligence for optimizing parameters in approximations of fractional-order operators, and the nondestructive analysis of dielectric bodies by means of an ant colony optimization method.
– Annotation ©2013 Book News Inc. Portland, OR
Author's/Editor's Biography
Girolamo Fornarelli (Ed.)
Girolamo Fornarelli received his Master’s degree in Electronic Engineer and the Ph.D. degree in Electrical Engineer from the Politecnico di Bari where at present, he is Assistant Professor in the Circuit Theory group. He taught “Circuit Simulation” and “Fundamentals of Electric Circuits” at the I and II Faculty of Engineering and concurrently he teaches “Electrotechnics” at the I Faculty of Engineering. He serves as reviewer for many international conferences and journals, as well as chairman, organizer of the special sessions and a member of the international program committee at international conferences. His most research interests deal with analysis of non-linear circuits, theoretical aspects for the development of neural networks, application of artificial neural networks and soft computing methods to clustering and non-destructive evaluation of industrial products and installations. Moreover, he works in the field of evolutionary computational, in detail such studies are related the characterization, optimization and design of neural circuits and optical fibres.
Luciano Mescia (Ed.)
Luciano Mescia joined the Department of Electrical and Electronic Engineering at the Politecnico of Bari as Assistant Professor. His research activity focus on fibre and integrated optic technologies, with emphasis on rare-earth doped active devices, optical sensors for the environmental monitoring, optical fibres (conventional and microstructured) for industrial, biological and biomedical applications. Recently, he works in the field of the swarm intelligence for the design, optimization and characterization of high power fibre amplifiers for space applications and harsh environments. Moreover, his research activity is devoted to the design of lasing action in rare earth doped microspheres and to the design of novel optical antennas for solar energy harvesting. During his activity research he has cooperated with many national and international research institutions and he has been involved in several collaborative projects with academic and industrial partners. Moreover, he serves as reviewer for many international conferences and journals, as well as chairman at international conferences.