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Titlebook: Experimental Research in Evolutionary Computation; The New Experimental Thomas Bartz-Beielstein Book 2006 Springer-Verlag Berlin Heidelberg

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發(fā)表于 2025-3-21 18:55:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Experimental Research in Evolutionary Computation
副標(biāo)題The New Experimental
編輯Thomas Bartz-Beielstein
視頻videohttp://file.papertrans.cn/319/318906/318906.mp4
概述There are no directly competing books that combine modern statistical approaches and evolutionary computing approaches in the design of experiments and the solution to optimization problems, and the a
叢書(shū)名稱(chēng)Natural Computing Series
圖書(shū)封面Titlebook: Experimental Research in Evolutionary Computation; The New Experimental Thomas Bartz-Beielstein Book 2006 Springer-Verlag Berlin Heidelberg
描述.Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical methodology to learn from experiments, where the experimenter should distinguish between statistical significance and scientific meaning. ..This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. The book develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Treating optimization runs as experiments, the author offers methods for solving complex real-world problems that involve optimization via simulation, and he describes successful applications in engineering and industrial control projects...The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples, so it is suitable for practitioners and researchers and also for lecturers and students. It summarizes res
出版日期Book 2006
關(guān)鍵詞Performance; algorithm; algorithms; evolution; evolutionary algorithm; evolutionary computation; heuristic
版次1
doihttps://doi.org/10.1007/3-540-32027-X
isbn_softcover978-3-642-06873-7
isbn_ebook978-3-540-32027-2Series ISSN 1619-7127 Series E-ISSN 2627-6461
issn_series 1619-7127
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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1619-7127 riments and the solution to optimization problems, and the a.Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical
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Thomas Bartz-BeielsteinThere are no directly competing books that combine modern statistical approaches and evolutionary computing approaches in the design of experiments and the solution to optimization problems, and the a
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https://doi.org/10.1007/b138640The ideas presented in this chapter can be summarized as follows:
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978-3-642-06873-7Springer-Verlag Berlin Heidelberg 2006
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