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Titlebook: Evolutionary and Adaptive Computing in Engineering Design; Ian C. Parmee Book 2001 Springer-Verlag London 2001 Adaptive Computing.Design S

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書目名稱Evolutionary and Adaptive Computing in Engineering Design
編輯Ian C. Parmee
視頻videohttp://file.papertrans.cn/319/318044/318044.mp4
概述Presents research carried out at the Engineering Design Centre in Plymouth, one of six national centres designated for university-based engineering design in the UK.Moves from research in specific are
圖書封面Titlebook: Evolutionary and Adaptive Computing in Engineering Design;  Ian C. Parmee Book 2001 Springer-Verlag London 2001 Adaptive Computing.Design S
描述Prior to the early 1990s the term ‘evolutionary computing‘ (EC) would have meant little to most practising engineers unless they had a particular interest in emerging computing technologies or were part of an organisation with significant in-house research activities. It was around this time that the first tentative utilisation of relatively simple evolutionary algorithms within engineering design began to emerge in the UK The potential was rapidly recognised especially within the aerospace sector with both Rolls Royce and British Aerospace taking a serious interest while in the USA General Electric had already developed a suite of optimisation software which included evolutionary and adaptiv,e search algorithms. Considering that the technologies were already twenty-plus years old at this point the long gestation period is perhaps indicative of the problems associated with their real-world implementation. Engineering application was evident as early as the mid-sixties when the founders of the various techniques achieved some success with computing resources that had difficulty coping with the population-based search characteristics of the evolutionary algorithms. Unlike more conven
出版日期Book 2001
關(guān)鍵詞Adaptive Computing; Design Space Decomposition; Evolutionary Computing; Genetic Algorithm; Whole-system
版次1
doihttps://doi.org/10.1007/978-1-4471-0273-1
isbn_softcover978-1-4471-1061-3
isbn_ebook978-1-4471-0273-1
copyrightSpringer-Verlag London 2001
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Initial Application,development and integration of the techniques with generic engineering system design problems has been discussed in Chapter 1. The early application work however, clearly illustrates the methodology and is included here to provide an introduction to simple GA utilisation.
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The Development of Evolutionary and Adaptive Search Strategies for Engineering Design,ns and upon specific, well-defined real-world problems, can be significantly reduced when they are integrated with engineering design processes. This is largely due to the complexity of the problems encountered, uncertainties relating to initial problem definition and human-centred aspects relating
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Evolutionary Design Space Decomposition,nct regions of high-performance solutions. Many evolutionary search techniques that attempt to identify and maintain multiple local optima within a multi-modal fitness landscape have been developed within the EC research community and are described in the literature; a selection of these are outline
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Whole-system Design,ch define the overall structure of the system. However, in many cases the system cannot be adequately described in terms of discrete decisions alone. Continuous variables that to some extent describe the characteristics of each discrete design configuration need to be included to achieve a meaningfu
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Towards Interactive Evolutionary Design Systems,xt. Concepts relating to the utilisation of EC techniques to support design decision making emerged at an early stage initially being stimulated by a recognition of the possibility of identifying diverse high-performance solutions relating to the low-head hydropower device of Section 4.2. Discussion
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