Differential Evolution in Electromagnetics [electronic resource] / edited by Anyong Qing, Ching Kwang Lee.Material type: TextLanguage: English Series: Evolutionary Learning and Optimization: 4Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: 195p. 62 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642128691Subject(s): Engineering | Artificial intelligence | Microwaves | Engineering | Computational Intelligence | Microwaves, RF and Optical Engineering | Artificial Intelligence (incl. Robotics) | Optics and ElectrodynamicsAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 LOC classification: Q342Online resources: Click here to access online
A Literature Survey on Differential Evolution -- Basics of Differential Evolution -- A Retrospective of Differential Evolution in Electromagnetics -- Application of Differential Evolution to a Two-Dimensional Inverse Scattering Problem -- The Use of Differential Evolution for the Solution of Electromagnetic Inverse Scattering Problems -- Modeling of Electrically Large Equipment with Distributed Dipoles Using Metaheuristic Methods -- Application of Differential Evolution to a Multi-Objective Real-World Frequency Assignment Problem -- RNN Based MIMO Channel Prediction.
Differential evolution has proven itself a very simple while very powerful stochastic global optimizer. It has been applied to solve problems in many scientific and engineering fields. This book focuses on applications of differential evolution in electromagnetics to showcase its achievement and capability in solving synthesis and design problems in electromagnetics.Topics covered in this book include:• A comprehensive up-to-date literature survey on differential evolution• A systematic description of differential evolution• A topical review on applications of differential evolution in electromagnetics• Five new application examplesThis book is ideal for electromagnetic researchers and people in differential evolution community. It is also a valuable reference book for researchers and students in the optimization or electrical and electronic engineering field. In addition, managers and engineers in relevant fields will find it a helpful introductory guide.