{"product_id":"9781394178414","title":"Evolutionary Large-Scale Multi-Objective Optimization and Applications","description":"\u003ch1\u003eEvolutionary Large-Scale Multi-Objective Optimization and Applications\u003c\/h1\u003e\u003ch3\u003eXingyi Zhang | Ran Cheng | Ye Tian | Yaochu Jin\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ Industrial Engineering\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eTackle the most challenging problems in science and engineering with these cutting-edge algorithms\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eMulti-objective optimization problems (MOPs) are those in which more than one objective needs to be optimized simultaneously. As a ubiquitous component of research and engineering projects, these problems are notoriously challenging. In recent years, evolutionary algorithms (EAs) have shown significant promise in their ability to solve MOPs, but challenges remain at the level of large-scale multi-objective optimization problems (LSMOPs), where the number of variables increases and the optimized solution is correspondingly harder to reach. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eEvolutionary Large-Scale Multi-Objective Optimization and Applications\u003c\/i\u003e constitutes a systematic overview of EAs and their capacity to tackle LSMOPs. It offers an introduction to both the problem class and the algorithms before delving into some of the cutting-edge algorithms which have been specifically adapted to solving LSMOPs. Deeply engaged with specific applications and alert to the latest developments in the field, it’s a must-read for students and researchers facing these famously complex but crucial optimization problems. \u003c\/p\u003e\n\u003cp\u003eThe book’s readers will also find: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAnalysis of multi-optimization problems in fields such as machine learning, network science, vehicle routing, and more \u003c\/li\u003e\n\u003cli\u003eDiscussion of benchmark problems and performance indicators for LSMOPs \u003c\/li\u003e\n\u003cli\u003ePresentation of a new taxonomy of algorithms in the field\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eEvolutionary Large-Scale Multi-Objective Optimization and Applications\u003c\/i\u003e is ideal for advanced students, researchers, and scientists and engineers facing complex optimization problems.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eXingyi Zhang, PhD,\u003c\/b\u003e is a Professor in the School of Computer Science and Technology at Anhui University, Hefei, China. He serves as an Associate Editor of the IEEE \u003ci\u003eTransactions on Evolutionary Computation\u003c\/i\u003e, and a member of the editorial board for \u003ci\u003eComplex and Intelligent Systems\u003c\/i\u003e. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eRan Cheng, PhD,\u003c\/b\u003e is an Associate Professor in the Department of Computer Science and Engineering at the Southern University of Science and Technology, China. He is an Associate Editor for the IEEE \u003ci\u003eTransactions on Evolutionary Computation, IEEE Transactions on Artificial Intelligence\u003c\/i\u003e, \u003ci\u003eIEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Cognitive and Developmental Systems,\u003c\/i\u003e and \u003ci\u003eACM Transactions on Evolutionary Learning and Optimization.\u003c\/i\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eYe Tian, PhD, \u003c\/b\u003eis an Associate Professor in School of Computer Science and Technology at Anhui University, Hefei, China. He also serves as an Associate Editor of the \u003ci\u003eIEEE Transactions on Evolutionary Computation\u003c\/i\u003e. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eYaochu Jin, PhD, \u003c\/b\u003eis a Chair Professor of Artificial Intelligence, Head of the Trustworthy and General Artificial Intelligence Laboratory, Westlake University, China. He was an Alexander von Humboldt Professor of Artificial Intelligence at the Bielefeld University, Germany, and Distinguished Chair in Computational Intelligence at the University of Surrey, United Kingdom. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e06 August 2024\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-IEEE Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781394178414\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e352\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e28.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44314181632140,"sku":"9781394178414","price":116.06,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781394178414.jpg?v=1780198033","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781394178414","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}