{"product_id":"multi-objective-optimization-using-evolutionary-algorithms-isbn-9780470743614","title":"Multi-Objective Optimization Using Evolutionary Algorithms","description":"The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists.  \u003cp\u003eEvolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run.\u003c\/p\u003e \u003col\u003e \u003cli\u003eComrephensive coverage of this growing area of research.\u003c\/li\u003e \u003cli\u003eCarefully introduces each algorithm with examples and in-depth discussion.\u003c\/li\u003e \u003cli\u003eIncludes many applications to real-world problems, including engineering design and scheduling.\u003c\/li\u003e \u003cli\u003eIncludes discussion of advanced topics and future research.\u003c\/li\u003e \u003cli\u003eAccessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms\u003c\/li\u003e \u003c\/ol\u003e \u003cp\u003eProvides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches.\u003c\/p\u003e \u003cp\u003eThis integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing.\u003c\/p\u003e  Foreword.\u003cbr\u003e \u003cbr\u003e Preface.\u003cbr\u003e \u003cbr\u003e Prologue.\u003cbr\u003e \u003cbr\u003e Multi-Objective Optimization.\u003cbr\u003e \u003cbr\u003e Classical Methods.\u003cbr\u003e \u003cbr\u003e Evolutionary Algorithms.\u003cbr\u003e \u003cbr\u003e Non-Elitist Multi-Objective Evolutionary Algorithms.\u003cbr\u003e \u003cbr\u003e Elitist Multi-Objective Evolutionary Algorithms.\u003cbr\u003e \u003cbr\u003e Constrained Multi-Objective Evolutionary Algorithms.\u003cbr\u003e \u003cbr\u003e Salient Issues of Multi-Objective Evolutionary Algorithms.\u003cbr\u003e \u003cbr\u003e Applications of Multi-Objective Evolutionary Algorithms.\u003cbr\u003e \u003cbr\u003e Epilogue.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e Index.   \u003cp\u003eKalyanmoy Deb is an Indian computer scientist. Since 2013, Deb has held the Herman E. \u0026amp; Ruth J. Koenig Endowed Chair in the Department of Electrical and Computing Engineering at Michigan State University, which was established in 2001.   Multi-Objective Optimization using Evolutionary Algorithms  \u003c\/p\u003e\u003cp\u003eKalyanmoy Deb\u003cbr\u003e Indian Institute of Technology, Kanpur, India\u003c\/p\u003e \u003cp\u003eThe Wiley Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians and scientists.\u003c\/p\u003e \u003cp\u003eMulti-Objective Optimization using Evolutionary Algorithms\u003c\/p\u003e \u003cp\u003eKalyanmoy Deb\u003cbr\u003e Indian Institute of Technology, Kanpur, India\u003c\/p\u003e \u003cp\u003eEvolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run.\u003c\/p\u003e \u003col\u003e \u003cli\u003eComrephensive coverage of this growing area of research.\u003c\/li\u003e \u003cli\u003eCarefully introduces each algorithm with examples and in-depth discussion.\u003c\/li\u003e \u003cli\u003eIncludes many applications to real-world problems, including engineering design and scheduling.\u003c\/li\u003e \u003cli\u003eIncludes discussion of advanced topics and future research.\u003c\/li\u003e \u003cli\u003eAccessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms\u003c\/li\u003e \u003c\/ol\u003e \u003cp\u003eProvides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches.\u003c\/p\u003e \u003cp\u003eThis integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989658845413,"sku":"NP9780470743614","price":102.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470743614.jpg?v=1761784995","url":"https:\/\/k12savings.com\/products\/multi-objective-optimization-using-evolutionary-algorithms-isbn-9780470743614","provider":"K12savings","version":"1.0","type":"link"}