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Titlebook: Darwin2K; An Evolutionary Appr Chris Leger Book 2000 Springer Science+Business Media New York 2000 algorithms.architecture.artificial life.

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發(fā)表于 2025-3-21 17:28:44 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Darwin2K
副標(biāo)題An Evolutionary Appr
編輯Chris Leger
視頻videohttp://file.papertrans.cn/261/260506/260506.mp4
叢書(shū)名稱(chēng)The Springer International Series in Engineering and Computer Science
圖書(shū)封面Titlebook: Darwin2K; An Evolutionary Appr Chris Leger Book 2000 Springer Science+Business Media New York 2000 algorithms.architecture.artificial life.
描述.Darwin2K: An Evolutionary Approach to Automated Design forRobotics. is an essential reference tool for researchers,professionals, and students involved in robot design or inevolutionary synthesis, design, and optimization. It is also necessaryfor users of Darwin2K. Researchers and hobbyists interested in geneticalgorithms and artificial life techniques will find the bookinteresting..The primary purpose of this book is to describe a methodology forusing computers to automatically design robots to meet the specificneeds of an application. Details of many novel aspects of themethodology are presented, including an evolutionary algorithm forsynthesizing and optimizing multiple objective functions, an algorithmfor dynamic simulation of arbitrary robots, an extensible softwarearchitecture, and a new representation for robots that is appropriatefor robot design. The methodology as a whole is significant in termsof its impact on robot design practices, and as a case study inbuilding evolutionary design systems. Individual parts of the systemsare also relevant to other areas. For example, the evolutionaryalgorithm can be used for design and optimization problems other thanrobotics, and the
出版日期Book 2000
關(guān)鍵詞algorithms; architecture; artificial life; design; evolution; evolutionary algorithm; genetic algorithms; o
版次1
doihttps://doi.org/10.1007/978-1-4615-4331-2
isbn_softcover978-1-4613-6945-5
isbn_ebook978-1-4615-4331-2Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 2000
The information of publication is updating

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978-1-4613-6945-5Springer Science+Business Media New York 2000
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https://doi.org/10.1007/978-3-663-16223-0 rules for translating the requirements of a task into a robot configuration, and human designers cannot easily grasp the space of possible designs and the impact of all design variables on a robot2018s performance. Instead, they must rely on intuition and their own experience with related design pr
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https://doi.org/10.1007/978-3-642-51973-4 configuration process. Design problems usually have multiple, often-conflicting performance requirements; the synthesis method should be able to capture these requirements and generate designs which meet them. It is also desirable to be able to incorporate human design expertise, since the designer
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The Springer International Series in Engineering and Computer Sciencehttp://image.papertrans.cn/d/image/260506.jpg
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