{"product_id":"9780470278581","title":"Metaheuristics From Design to Implementation","description":"\u003ch1\u003eMetaheuristics\u003c\/h1\u003e\u003ch2\u003eFrom Design to Implementation\u003c\/h2\u003e\u003ch3\u003eEl-Ghazali Talbi\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Data Science \/ Data Modeling \u0026amp; Design\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003eA unified view of metaheuristics  \u003cp\u003eThis book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code.\u003c\/p\u003e \u003cp\u003eThroughout the book, the key search components of metaheuristics are considered as a toolbox for:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eDesigning efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems\u003c\/li\u003e \u003cli\u003e \u003cp\u003eDesigning efficient metaheuristics for multi-objective optimization problems\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eDesigning hybrid, parallel, and distributed metaheuristics\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eImplementing metaheuristics on sequential and parallel machines\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eUsing many case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale optimization problems quickly and efficiently. It is a valuable reference for practicing engineers and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations research, control, engineering, business and management, and applied mathematics.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e \u003cb\u003eEL-GHAZALI TALBI\u003c\/b\u003e is a full Professor in Computer Science at the University of Lille (France), and head of the optimization group of the Computer Science Laboratory (L.I.F.L.). His current research interests are in the fields of metaheuristics, parallel algorithms, multi-objective combinatorial optimization, cluster and grid computing, hybrid and cooperative optimization, and application to bioinformatics, networking, transportation, and logistics. He is the founder of the conference META (International Conference on Metaheuristics and Nature Inspired Computing), and is head of the INRIA Dolphin project dealing with robust multi-objective optimization of complex systems.\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e22 June 2009\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780470278581\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\u003e624\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e34.14\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44379002011788,"sku":"9780470278581","price":150.26,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780470278581.jpg?v=1780111527","url":"https:\/\/lateknightbooks.com\/products\/9780470278581","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}