Concept Engine General Optimization Search
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Electromagnetic Optimization by Genetic Algorithms by Yahya Rahmat-Samii, Authoritative coverage of a revolutionary technique for overcoming problems in electromagnetic design Genetic algorithms are stochastic search procedures modeled on the Darwinian concepts of natural selection concept engine general optimization search and evolution. The machinery of genetic algorithms utilizes an optimization methodology that allows a global search of the cost surface via statistical random processes dictated by the Darwinian evolutionary concept. These easily programmed concept engine general optimization search and readily implemented procedures robustly locate extrema of highly multimodal functions concept engine general optimization search and therefore are particularly well suited to finding solutions to a broad range of electromagnetic optimization problems. Electromagnetic Optimization by Genetic Algorithms is the first book devoted exclusively to the application of genetic algorithms to electromagnetic device design. Compiled by two highly competent concept engine general optimization search and well-respected members of the electromagnetics community, this book describes numerous applications of genetic algorithms to the design concept engine general optimization search and optimization of various low- concept engine general optimization search and high-frequency electromagnetic components. Special features include: Introduction by David E. Goldberg, " A Meditation on the Application of Genetic Algorithms" Design of linear concept engine general optimization search and planar arrays using genetic algorithmsApplication of genetic algorithms to the design of broadband, wire, concept engine general optimization search and integrated antennasGenetic algorithm— driven design of dielectric gratings concept engine general optimization search and frequency-selective surfacesSynthesis of magnetostatic devices using genetic algorithmsApplication of genetic algorithms to multiobjective electromagnetic backscattering optimizationA comprehensive list of the up-to-date references applicable to electromagnetic design problemsSupplementedwith more than 250 illustrations, Electromagnetic Optimization by Genetic Algorithms is a powerful resource for electrical engineers interested in modern electromagnetic designs concept engine general optimization search and an indispensable reference for university researchers.
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Maxima and Minima with Applications: Practical Optimization and Duality by Wilfred Kaplan, This new work by Wilfred Kaplan, the distinguished author of influential mathematics concept engine general optimization search and engineering texts, is destined to become a classic. Timely, concise, concept engine general optimization search and content-driven, it provides an intermediate-level treatment of maxima, minima, concept engine general optimization search and optimization. Assuming only a background in calculus concept engine general optimization search and some linear algebra, Professor Kaplan presents topics in order of difficulty. In four short chapters, he describes basic concepts concept engine general optimization search and geometric aspects of maxima concept engine general optimization search and minima, progresses to problems with side conditions, introduces optimization concept engine general optimization search and programming, concept engine general optimization search and concludes with an in-depth discussion of research topics involving the duality theorems of Fenchel concept engine general optimization search and Rockafellar. Throughout the text, the subject of convexity is gradually developed from its theoretical underpinnings to problems, concept engine general optimization search and finally, to its role in applications. Other features include: A strong emphasis on practical applications of maxima concept engine general optimization search and minima An impressive array of supporting topics such as numerical analysis An ample number of examples concept engine general optimization search and problems More than 60 illustrations highlighting the text Algorithms to reinforce concepts An appendix reviewing the prerequisite linear algebra Maxima concept engine general optimization search and Minima with Applications is an ideal text for upper-undergraduate concept engine general optimization search and graduate students taking courses in operations research, management, general engineering, concept engine general optimization search and applied mathematics. It can also be used to supplement courses on linear concept engine general optimization search and nonlinear optimization. This volume's broad scope makes it an excellent reference for professionals wishing to learn more about cutting-edge topics in optimization concept engine general optimization search and mathematical programming.
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