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Differential Evolution

Fundamentals and Applications in Electrical Engineering

Anyong Qing

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Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik


Differential evolution is a very simple but very powerfulstochastic optimizer. Since its inception, it has proved veryefficient and robust in function optimization and has been appliedto solve problems in many scientific and engineering fields. InDifferential Evolution , Dr. Qing begins with an overview ofoptimization, followed by a state-of-the-art review of differentialevolution, including its fundamentals and up-to-date advances. Hegoes on to explore the relationship between differential evolutionstrategies, intrinsic control parameters, non-intrinsic controlparameters, and problem features through a parametric study.Findings and recommendations on the selection of strategies andintrinsic control parameter values are presented. Lastly, after anintroductory review of reported applications in electrical andelectronic engineering fields, different research groupsdemonstrate how the methods can be applied to such areas as:multicast routing, multisite mapping in grid environments, antennaarrays, analog electric circuit sizing, electricity markets,stochastic tracking in video sequences, and color quantization. * Contains a systematic and comprehensive overview ofdifferential evolution * Reviews the latest differential evolution research * Describes a comprehensive parametric study conducted over alarge test bed * Shows how methods can be practically applied to * mobile communications * grid computing * circuits * image processing * power engineering * Sample applications demonstrated by research groups in theUnited Kingdom, Australia, Italy, Turkey, China, and EasternEurope * Provides access to companion website with code examples fordownload Differential Evolution is ideal for applicationengineers, who can use the methods described to solve specificengineering problems. It is also a valuable reference forpost-graduates and researchers working in evolutionary computation,design optimization and artificial intelligence. Researchers in theoptimization field or engineers and managers involved in operationsresearch will also find the book a helpful introduction to thetopic.

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Mathematik in den Naturwissenschaften, Numerical Methods & Algorithms, Applied Mathematics in Science, Elektrotechnik u. Elektronik, Mathematics, Numerische Methoden u. Algorithmen, Mathematik, Electrical & Electronics Engineering