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

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engender

粗俗人

Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windowsexpensive. As a case study we choose the well-known travelling salesman problem with time windows. Our results clearly demonstrate that Beam-ACO, even when bounding information is replaced by stochastic sampling, may have important advantages over standard ACO algorithms.

危險(xiǎn)

A Knowledge Discovery Approach to Understanding Relationships between Scheduling Problem Structure a97%. A self-organizing map is used to visualize the feature space and generate insights into heuristic performance. This paper argues for such a knowledge discovery approach to be applied to other optimization problems, to contribute to automation of algorithm selection as well as insightful algorithm design.

Chronological

Neural Network Pairwise Interaction Fields for Protein Model Quality Assessmentnce. In our tests on a large set of structures, our model outperforms most other methods based on different and more complex protein structure representations in both local and global quality prediction. The method is available upon request from the authors. Method-specific rankers may also built by the authors upon request.

罐里有戒指

不可知論

Allergic

978-3-642-11168-6Springer-Verlag Berlin Heidelberg 2009

annexation

Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics978-3-642-11169-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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