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Titlebook: Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics; Third International Thomas Stützle Conf

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书目名称Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics
副标题Third International
编辑Thomas Stützle
视频videohttp://file.papertrans.cn/583/582894/582894.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics; Third International Thomas Stützle Conf
描述LION 3, the Third International Conference on Learning and Intelligent Op- mizatioN, was held during January 14–18 in Trento, Italy. The LION series of conferences provides a platform for researchers who are interested in the int- section of e?cient optimization techniques and learning. It is aimed at exploring the boundaries and uncharted territories between machine learning, arti?cial intelligence, mathematical programming and algorithms for hard optimization problems. The considerable interest in the topics covered by LION was re?ected by the overwhelming number of 86 submissions, which almost doubled the 48 subm- sions received for LION’s second edition in December 2007. As in the ?rst two editions, the submissions to LION 3 could be in three formats: (a) original novel and unpublished work for publication in the post-conference proceedings, (b) extended abstracts of work-in-progressor a position statement, and (c) recently submitted or published journal articles for oral presentations. The 86 subm- sions received include 72, ten, and four articles for categories (a), (b), and (c), respectively.
出版日期Conference proceedings 2009
关键词Variable; algorithms; evolutionary algorithm; heuristics; intelligence; learning; optimization
版次1
doihttps://doi.org/10.1007/978-3-642-11169-3
isbn_softcover978-3-642-11168-6
isbn_ebook978-3-642-11169-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windowsutationally inexpensive bounding information for choosing between different partial solutions during the solution construction process. In this work we present the use of stochastic sampling as a useful alternative to bounding information in cases were computing accurate bounding information is too
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Flexible Stochastic Local Search for Haplotype Inferenceasis of their genotype. This information allows researchers to perform association studies for the genetic variants involved in diseases and the individual responses to therapeutic agents. A notable approach to the problem is to encode it as a combinatorial problem (under certain hypotheses, such as
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Fitness Landscape Analysis for the Resource Constrained Project Scheduling Problemand the correlation between the quality of a solution and its distance to an optimal solution. The suitability of the landscape for search with evolutionary computation and local search methods is discussed.
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Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machietween different operations on the same machine. Our models estimate the gaps between consecutive operations on a machine given measures that characteristics the JSS instance and those operations. These models can be used for a better understanding of the behavior of the heuristics as well as to est
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