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Evolutionary Multi-Objective System Design: Theory and Applications (Chapman & Hall/CRC Computer & Information Science Series)

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Description: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 electrodesLearning fuzzy rules from imbalanced datasetsCombining multi-objective evolutionary algorithms with collective intelligenceFuzzy gain scheduling controlSmart placement of roadside units in vehicular networksCombining multi-objective evolutionary algorithms with quasi-simplex local searchDesign of robust substitution boxesProtein structure prediction problemCore assignment for efficient network-on-chip-based system designWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Evolutionary Multi-Objective System Design: Theory and Applications (Chapman & Hall/CRC Computer & Information Science Series). To get started finding Evolutionary Multi-Objective System Design: Theory and Applications (Chapman & Hall/CRC Computer & Information Science Series), you are right to find our website which has a comprehensive collection of manuals listed.
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Format: PDF, EPUB & Kindle Edition

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Release: 2020

ISBN: 1498780296

Description: 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 electrodesLearning fuzzy rules from imbalanced datasetsCombining multi-objective evolutionary algorithms with collective intelligenceFuzzy gain scheduling controlSmart placement of roadside units in vehicular networksCombining multi-objective evolutionary algorithms with quasi-simplex local searchDesign of robust substitution boxesProtein structure prediction problemCore assignment for efficient network-on-chip-based system designWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Evolutionary Multi-Objective System Design: Theory and Applications (Chapman & Hall/CRC Computer & Information Science Series). To get started finding Evolutionary Multi-Objective System Design: Theory and Applications (Chapman & Hall/CRC Computer & Information Science Series), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Evolutionary Multi-Objective System Design: Theory and Applications (Chapman & Hall/CRC Computer & Information Science Series)

Evolutionary Multi-Objective System Design: Theory and Applications (Chapman & Hall/CRC Computer & Information Science Series)

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