{"product_id":"evolutionary-multi-objective-system-design-theory-and-applications-9780367572808","title":"Evolutionary Multi-Objective System Design: Theory and Applications","description":"\u003cp\u003e • Author(s): Nadia Nedjah\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Machine Theory\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eReal-world engineering problems often require concurrent optimization of several design objectives, which are conflicting in cases. This type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary methodologies to multi-objective optimization is of special and growing interest. It brings a viable computational solution to many real-world problems. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eGenerally, multi-objective engineering problems do not have a straightforward optimal design. These kinds of problems usually inspire several solutions of equal efficiency, which achieve different trade-offs. Decision makers' preferences are normally used to select the most adequate design. Such preferences may be dictated before or after the optimization takes place. They may also be introduced interactively at different levels of the optimization process. Multi-objective optimization methods can be subdivided into classical and evolutionary. The classical methods usually aim at a single solution while the evolutionary methods provide a whole set of so-called Pareto-optimal solutions. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eEvolutionary Multi-Objective System Design: Theory and Applications\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eprovides a representation of the state-of-the-art in evolutionary multi-objective optimization research area and related new trends. It reports many innovative designs yielded by the application of such optimization methods. It also presents the application of multi-objective optimization to the following problems: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eEmbrittlement of stainless steel coated electrodes\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eLearning fuzzy rules from imbalanced datasets \u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eCombining multi-objective evolutionary algorithms with collective intelligence\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eFuzzy gain scheduling control\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eSmart placement of roadside units in vehicular networks\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eCombining multi-objective evolutionary algorithms with quasi-simplex local search\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eDesign of robust substitution boxes\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eProtein structure prediction problem\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e \u003cli\u003eCore assignment for efficient network-on-chip-based system design\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003c\/ul\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Paperback","offer_id":45240360632471,"sku":"9780367572808","price":4071.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780367572808.webp?v=1769225306","url":"https:\/\/atlanticbooks.com\/products\/evolutionary-multi-objective-system-design-theory-and-applications-9780367572808","provider":"Atlantic Books","version":"1.0","type":"link"}