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Titlebook: Parallel Problem Solving from Nature - PPSN V; 5th International Co Agoston E. Eiben,Thomas B?ck,Hans-Paul Schwefel Conference proceedings

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發(fā)表于 2025-3-21 18:27:29 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Parallel Problem Solving from Nature - PPSN V
副標(biāo)題5th International Co
編輯Agoston E. Eiben,Thomas B?ck,Hans-Paul Schwefel
視頻videohttp://file.papertrans.cn/742/741009/741009.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Parallel Problem Solving from Nature - PPSN V; 5th International Co Agoston E. Eiben,Thomas B?ck,Hans-Paul Schwefel Conference proceedings
描述This book constitutes the refereed proceedings of the 5th International Conference on Parallel Problem Solving from Nature, PPSN V, held in Amsterdam, The Netherlands, in September 1998..The 101 papers included in their revised form were carefully reviewed and selected from a total of 185 submissions. The book is divided into topical sections on convergence theory; fitness landscape and problem difficulty; noisy and non-stationary objective functions; multi-criteria and constrained optimization; representative issues; selection, operators, and evolution schemes; coevolution and learning; cellular automata, fuzzy systems, and neural networks; ant colonies, immune systems, and other paradigms; TSP, graphs, and satisfiability; scheduling, partitioning, and packing; design and telecommunications; and model estimations and layout problems.
出版日期Conference proceedings 1998
關(guān)鍵詞Evolutionary Programming; Evolvable Systems; Fuzzy Systems; Genetic Algorithms; Immune Systems; Partition
版次1
doihttps://doi.org/10.1007/BFb0056843
isbn_softcover978-3-540-65078-2
isbn_ebook978-3-540-49672-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1998
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:00:36 | 只看該作者
On the optimization of unimodal functions with the (1+1) evolutionary algorithm,ereby we show that unimodal functions can be very difficult to be optimized for the (1+1) EA. Furthermore, we prove that a little modification in the selection method can lead to huge changes in the expected running time.
板凳
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地板
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5#
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Mutate large, but inherit small! On the analysis of rescaled mutations in (,)-ES with noisy fitness data, progress rate formula is sketched, its predictions are compared with experiments, and its limitations are shown. The dynamical behavior of the ES is investigated. It will be shown that standard self-adaptation has considerable problems to drive the ES in its optimum working regime. Remedies are provided to improve the self-adaptation.
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發(fā)表于 2025-3-22 14:56:07 | 只看該作者
Analytic curve detection from a noisy binary edge map using genetic algorithm, Algorithm in combination with the Randomized Hough Transform, along with a different scoring function, to deal with such environments. This approach is also an improvement over random search and in contrast to standard Hough transform algorithms, is not limited to simple curves like straight line or circle.
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發(fā)表于 2025-3-23 02:19:37 | 只看該作者
The effect of spin-flip symmetry on the performance of the simple GA,timize deterministically and yet show a wide range of SGA behavior. They have been extensively studied in statistical physics; results from this field explain the negative effect of symmetry on the convergence behavior of the SGA. This note intends to introduce them to the GA-community.
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