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Titlebook: Parallel Problem Solving from Nature, PPSN XI; 11th International C Robert Schaefer,Carlos Cotta,Günter Rudolph Conference proceedings 2010

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發(fā)表于 2025-3-21 19:25:48 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Parallel Problem Solving from Nature, PPSN XI
副標題11th International C
編輯Robert Schaefer,Carlos Cotta,Günter Rudolph
視頻videohttp://file.papertrans.cn/742/741012/741012.mp4
概述Up to date results.Fast conference proceedings.State-of-the-art report
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Parallel Problem Solving from Nature, PPSN XI; 11th International C Robert Schaefer,Carlos Cotta,Günter Rudolph Conference proceedings 2010
出版日期Conference proceedings 2010
關鍵詞algorithms; data mining; evolution; evolutionary algorithm; evolutionary computation; genetic algorithms;
版次1
doihttps://doi.org/10.1007/978-3-642-15844-5
isbn_softcover978-3-642-15843-8
isbn_ebook978-3-642-15844-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

書目名稱Parallel Problem Solving from Nature, PPSN XI影響因子(影響力)




書目名稱Parallel Problem Solving from Nature, PPSN XI影響因子(影響力)學科排名




書目名稱Parallel Problem Solving from Nature, PPSN XI網(wǎng)絡公開度




書目名稱Parallel Problem Solving from Nature, PPSN XI網(wǎng)絡公開度學科排名




書目名稱Parallel Problem Solving from Nature, PPSN XI被引頻次




書目名稱Parallel Problem Solving from Nature, PPSN XI被引頻次學科排名




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書目名稱Parallel Problem Solving from Nature, PPSN XI年度引用學科排名




書目名稱Parallel Problem Solving from Nature, PPSN XI讀者反饋




書目名稱Parallel Problem Solving from Nature, PPSN XI讀者反饋學科排名




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沙發(fā)
發(fā)表于 2025-3-21 22:51:55 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:31:47 | 只看該作者
Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis which can be used to analyse the raw data of a benchmark experiment and derive some insight regarding the answers to these questions. We employ the presented methods to analyse the BBOB’09 benchmark results and present some initial findings.
地板
發(fā)表于 2025-3-22 06:03:08 | 只看該作者
More Effective Crossover Operators for the All-Pairs Shortest Path Problemis work, we study two variants of the algorithm. These are based on two central concepts in recombination, . and .. We show that repairing infeasible offspring leads to an improved expected optimization time of .. Furthermore, we prove that choosing parents that guarantee feasible offspring results in an optimization time of ..
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發(fā)表于 2025-3-22 12:17:18 | 只看該作者
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發(fā)表于 2025-3-22 13:14:17 | 只看該作者
Optimizing?Monotone?Functions?Can?Be?Difficult that the (1+1)?EA with overwhelming probability does not find the optimum within 2. iterations. This is the first time that we observe that a constant factor change of the mutation probability changes the run-time by more than constant factors.
7#
發(fā)表于 2025-3-22 18:42:09 | 只看該作者
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發(fā)表于 2025-3-22 23:36:20 | 只看該作者
Towards Analyzing Recombination Operators in Evolutionary Searchy of our approach is the . which compares two Markov chains for the first hit of the target. As an illustration, we analyze some recombination operators in evolutionary search on the LeadingOnes problem using the proposed approach. The analysis identifies some insight on the choice of recombination operators, which is then verified in experiments.
9#
發(fā)表于 2025-3-23 01:30:35 | 只看該作者
Drift Analysis with Tail Boundsns holds with high probability (and not just in expectation). Similar improvements are obtained for other classical problems in the evolutionary algorithms literature, for example computing minimum spanning trees, finding single-source shortest paths, and finding Eulerian cycles.
10#
發(fā)表于 2025-3-23 08:32:03 | 只看該作者
Süntje B?ttcher,Benjamin Doerr,Frank Neumann Leser, wie man solche Aufgaben vom ersten Ansatz bis zum Ergebnis durchrechnet. Schwerpunkt sind die im Lehrbuch "Mathematik für Ingenieure" desselben Autors angegebenen übungsaufgaben.978-3-540-69075-7Series ISSN 0937-7433 Series E-ISSN 2512-5214
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