{"product_id":"multi-objective-optimization-using-evolutionary-algorithms-isbn-9780471873396","title":"Multi-Objective Optimization using Evolutionary Algorithms","description":"Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many 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.  \u003cul\u003e \u003cli\u003eComprehensive 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\u003eCan be used as a course text or for self-study\u003c\/li\u003e \u003cli\u003eAccessible to those with limited knowledge of classical multi-objective optimization and evolutionary algorithms\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe integrated presentation of theory, algorithms and examples will benefit those working and researching in the areas of optimization, optimal design and evolutionary computing. This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.\u003c\/p\u003eOptimierung mit mehreren Zielen, evolutionäre Algorithmen: Dieses Buch wendet sich vorrangig an Einsteiger, denn es werden kaum Vorkenntnisse vorausgesetzt. Geboten werden alle notwendigen Grundlagen, um die Theorie auf Probleme der Ingenieurtechnik, der Vorhersage und der Planung anzuwenden. Der Autor gibt auch einen Ausblick auf Forschungsaufgaben der Zukunft. \u003cp\u003eForeword xv\u003c\/p\u003e \u003cp\u003ePreface xvii\u003c\/p\u003e \u003cp\u003e1 Prologue 1\u003c\/p\u003e \u003cp\u003e2 Multi-Objective Optimization 13\u003c\/p\u003e \u003cp\u003e3 Classical Methods 49\u003c\/p\u003e \u003cp\u003e4 Evolutionary Algorithms 81\u003c\/p\u003e \u003cp\u003e5 Non-Elitist Multi-Objective Evolutionary Algorithms 171\u003c\/p\u003e \u003cp\u003e6 Elitist Multi-Objective Evolutionary Algorithms 239\u003c\/p\u003e \u003cp\u003e7 Constrained Multi-Objective Evolutionary Algorithms 289\u003c\/p\u003e \u003cp\u003e8 Salient Issues of Multi-Objective Evolutionary Algorithms 315\u003c\/p\u003e \u003cp\u003e9 Applications of Multi-Objective Evolutionary Algorithms 447\u003c\/p\u003e \u003cp\u003e10 Epilogue 481\u003c\/p\u003e \u003cp\u003eReferences 489\u003c\/p\u003e \u003cp\u003eIndex 509\u003c\/p\u003e  \"Deb's book is complete, eminently readable, and the coverage is scholarly and thorough. It is my pleasure and duty to urge you to buy this book, read it, use it and enjoy it.\" (David E. Goldberg, University of Illinois at Urbana-Champaign, USA)  \u003cp\u003e\"...discusses two multi-objective optimization procedures, namely the ideal procedure and the preference-based one.\" (Zentralblatt MATH, Vol. 970, 2001\/20)\u003c\/p\u003e \u003cp\u003eExcerpt from Preface: \"...provides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches.\" (Mathematical Reviews, 2002)\u003c\/p\u003e \u003cp\u003e\"...As a survey, this book is exemplary and forms an essential resource for EMO researchers at the present time.\" (Siam Review, Vol.44, No.3, 2002)\u003c\/p\u003e \u003cp\u003e\"...a readable account of a topic of current interest in operational research.\" (Mathematika, No.48, 2001)\u003c\/p\u003e \u003cp\u003e??an outstandingly well-organized and clearly written account of the subject? (The Mathematical Gazette, July 2003)\u003c\/p\u003e  \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.   Evolutionary 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\u003cul\u003e \u003cli\u003eComprehensive 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 anf scheduling\u003c\/li\u003e \u003cli\u003eAccessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis integrated presentation of theory, algorithms and examples will benefit those working and researching in the areas of optimization, optimal design anf evolutionary computing.\u003c\/p\u003e \u003cp\u003e\"Deb's book is complete, eminently readable, and the coverage is scholarly and thorough. It is my pleasure and duty to urge you to buy this book, read it, use it and enjoy it.\"\u003cbr\u003e —\u003cb\u003eDavid E. Goldberg\u003c\/b\u003e, University of Illinois at Urbana-Champaign, USA\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989659107557,"sku":"NP9780471873396","price":177.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471873396.jpg?v=1761784993","url":"https:\/\/k12savings.com\/es\/products\/multi-objective-optimization-using-evolutionary-algorithms-isbn-9780471873396","provider":"K12savings","version":"1.0","type":"link"}