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Electromagnetic Optimization by Genetic Algorithms by Yahya Rahmat-Samii,

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 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 and readily implemented procedures robustly locate extrema of highly multimodal functions 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 and well-respected members of the electromagnetics community, this book describes numerous applications of genetic algorithms to the design and optimization of various low- and high-frequency electromagnetic components. Special features include: Introduction by David E. Goldberg, " A Meditation on the Application of Genetic Algorithms" Design of linear and planar arrays using genetic algorithmsApplication of genetic algorithms to the design of broadband, wire, and integrated antennasGenetic algorithm— driven design of dielectric gratings 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 and an indispensable reference for university researchers.



MySQL: The Complete Reference by Claude Seidman,
MySQL: The Complete Reference by Claude Seidman,
The Most Authoritative Resource on the MySQL Database Available! Reviewed by the MySQL Development Team. Get the most out of the MySQL database server--today's most popular open source database--with help from this definitive guide. Take advantage of MySQL's cross-platform support, independent storage engines, advanced permissions and security system, query caching, full-text indexing and searching, and much more. Reviewed by the MySQL database development team, "MySQL: The Complete Reference explains in full detail how to use this customizable RDMS to support robust, reliable, mission-critical applications.Install, configure, and test a MySQL database on Linux/UNIX or WindowsUse MySQL data types, statements, operators, and functionsManage databases and tables with the Data Definition Language (DDL)Add, delete, and query records using the Data Manipulation Language (DML)Take advantage of transactional supportImplement MySQL's five-tiered access control and privilege systemHandle database optimization, backup, recovery, and replicationCreate applications in C, C++, Perl, Java, PHP, and other languagesVikram Vaswani is the founder and CEO of Melonfire, a company specializing in Web design, development, and content creation for a variety of clients. He has also written extensively on open source technologies, including MySQL, Perl, Python, and PHP.



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Search Engine Optimization Resource - Search Engine Optimization Resource 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 search engine optimization resource 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 search engine optimization resource and ...

Search Engine Optimization Resource - Search Engine Optimization Resource 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 search engine optimization resource 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 search engine optimization resource and ...

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