{"product_id":"9781119136415","title":"Evolutionary Algorithms","description":"\u003cp\u003eEvolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods.\u003c\/p\u003e \u003cp\u003eIn six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms.\u003c\/p\u003e \u003cp\u003eChapter 1 describes a generic evolutionary algorithm as well as the basic operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are described and compared on a set of test functions. Chapter 3 considers continuous optimization problems with constraints. Various approaches suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators to deal with order-based problems. Chapter 5 introduces the basic notions required to understand the issue of multi-objective optimization and a variety of approaches for its application. Finally, Chapter 6 describes different approaches of genetic programming able to evolve computer programs in the context of machine learning.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47121559060720,"sku":"9781119136415","price":95.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781119136415_p0.jpg?v=1769890529","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781119136415","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}