{"product_id":"multi-objective-optimization-using-evolutionary-algorithms-paperback-softback-9780470743614","title":"Multi-Objective Optimization Using Evolutionary Algorithms (Paperback \/ softback) 9780470743614","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eMulti-Objective Optimization Using Evolutionary Algorithms\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eKalyanmoy Deb (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470743614, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 28 October 2008\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e544 pages\u003cbr\u003e24.8 x 17.2 x 3 cm, 0.879 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThe 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\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eForeword.\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.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52501389705496,"sku":"9780470743614","price":62.28,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780470743614.jpg?v=1786234953","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/multi-objective-optimization-using-evolutionary-algorithms-paperback-softback-9780470743614","provider":"Freshly Printed Books","version":"1.0","type":"link"}