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Evolutionary Multi-Objective System Design: Theory and Applications by Nadia Ned

Description: Evolutionary Multi-Objective System Design by Nadia Nedjah, Heitor Silverio Lopes, Luiza De Macedo Mourelle Real-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. Generally, 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. Evolutionary Multi-Objective System Design: Theory and Applicationsprovides 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: Embrittlement of stainless steel coated electrodes Learning fuzzy rules from imbalanced datasets Combining multi-objective evolutionary algorithms with collective intelligence Fuzzy gain scheduling control Smart placement of roadside units in vehicular networks Combining multi-objective evolutionary algorithms with quasi-simplex local search Design of robust substitution boxes Protein structure prediction problem Core assignment for efficient network-on-chip-based system design FORMAT Hardcover LANGUAGE English CONDITION Brand New Author Biography Nadia Nedjah, Luiza De Macedo Mourelle, Heitor Silverio Lopes Table of Contents Embrittlement of Stainless Steel Coated Electrodes. Learning Fuzzy Rules from Imbalanced Datasets using Multi-objective Evolutionary Algorithms. Hybrid Multi-Objective Evolutionary Algorithms with Collective Intelligence. Multiobjective Particle Swarm Optimization Fuzzy Gain Scheduling Control. Multiobjective evolutionary algorithms for smart placement. Solving Multi-Objective Problems with MOEA/D and Quasi-Simplex Local Search. Multi-objective Evolutionary Design of Robust Substitution Boxes. Multi-objective approach to the Protein Structure Prediction Problem. Multi-objective IP Assignment for Efficient NoC-based System Design. Details ISBN1498780288 Short Title EVOLUTIONARY MULTI-OBJECTIVE S Language English ISBN-10 1498780288 ISBN-13 9781498780285 Media Book Format Hardcover Subtitle Theory and Applications Place of Publication Portland Country of Publication United States Edited by Luiza De Macedo Mourelle Year 2017 DEWEY 006.3 Illustrations 63 Tables, black and white; 50 Illustrations, black and white Publication Date 2017-10-19 AU Release Date 2017-10-19 NZ Release Date 2017-10-19 US Release Date 2017-10-19 UK Release Date 2017-10-19 Author Luiza De Macedo Mourelle Pages 242 Publisher Taylor & Francis Inc Series Chapman & Hall/CRC Computer and Information Science Series Alternative 9780367572808 Audience Tertiary & Higher Education Imprint Chapman & Hall/CRC We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:139835558;

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Evolutionary Multi-Objective System Design: Theory and Applications by Nadia Ned

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ISBN-13: 9781498780285

Book Title: Evolutionary Multi-Objective System Design

Item Height: 254 mm

Item Width: 178 mm

Author: Nadia Nedjah, Luiza De Macedo Mourelle, Heitor Silverio Lopes

Publication Name: Evolutionary Multi-Objective System Design: Theory and Applications

Format: Hardcover

Language: English

Publisher: Taylor & Francis Inc

Subject: Computer Science

Publication Year: 2017

Type: Textbook

Item Weight: 476 g

Number of Pages: 218 Pages

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