{"product_id":"engineering-optimization-an-introduction-with-metaheuristic-applications-9780470582466","title":"Engineering Optimization: An Introduction with Metaheuristic Applications","description":"\u003cp\u003e • Author(s): Xin-She Yang\u003cbr\u003e • Publisher: Wiley\u003cbr\u003e • Publisher Imprint: Wiley\u003cbr\u003e • BISAC: Discrete Mathematics\u003c\/p\u003e\u003cp\u003eAn accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences  \u003c\/p\u003e\u003cp\u003eFrom engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, \u003ci\u003eEngineering Optimization: An Introduction with Metaheuristic Applications\u003c\/i\u003e outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms.\u003c\/p\u003e \u003cp\u003eThe author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts:\u003c\/p\u003e  *\u003cb\u003e\u003ci\u003eFoundations of Optimization and Algorithms\u003c\/i\u003e\u003c\/b\u003e provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number generation, the Monte Carlo method, and the Markov chain Monte Carlo method *\u003cb\u003e\u003ci\u003eMetaheuristic Algorithms\u003c\/i\u003e\u003c\/b\u003e presents common metaheuristic algorithms in detail, including genetic algorithms, simulated annealing, ant algorithms, bee algorithms, particle swarm optimization, firefly algorithms, and harmony search *\u003cb\u003e\u003ci\u003eApplications\u003c\/i\u003e\u003c\/b\u003e outlines a wide range of applications that use metaheuristic algorithms to solve challenging optimization problems with detailed implementation while also introducing various modifications used for multi-objective optimization  \u003cp\u003eThroughout the book, the author presents worked-out examples and real-world applications that illustrate the modern relevance of the topic. A detailed appendix features important and popular algorithms using MATLAB® and Octave software packages, and a related FTP site houses MATLAB code and programs for easy implementation of the discussed techniques. In addition, references to the current literature enable readers to investigate individual algorithms and methods in greater detail.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eEngineering Optimization: An Introduction with Metaheuristic Applications\u003c\/i\u003e is an excellent book for courses on optimization and computer simulation at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners working in the fields of mathematics, engineering, computer science, operations research, and management science who use metaheuristic algorithms to solve problems in their everyday work.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Hardcover","offer_id":45201804394647,"sku":"9780470582466","price":15105.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780470582466.webp?v=1767307626","url":"https:\/\/atlanticbooks.com\/products\/engineering-optimization-an-introduction-with-metaheuristic-applications-9780470582466","provider":"Atlantic Books","version":"1.0","type":"link"}