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

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Cooperative Strategies and Reactive Search: A Hybrid Model Proposalrequired to set up a method when the resolution of an unknown instance is needed. However, as far as we know, a hybrid between both techniques has not yet been proposed in the literature. In this work, we show how reactive search principles can be incorporated into a simple rule-driven centralised c

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Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Oadays, high-dimensional optimization problems are an interesting field of research. Its high dimension introduces new problems for the optimization process, making recommendable to test the behavior of optimization algorithms to large-scale problems. In memetic algorithms, the local search method is

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Neural Network Pairwise Interaction Fields for Protein Model Quality Assessmenta tree representation of the .. trace to train a novel Neural Network Pairwise Interaction Field (NN-PIF) to predict the global quality of a model. We also attempt to extract local quality from global quality. The model allows fast evaluation of multiple different structure models for a single seque

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A Graph-Based Semi-supervised Algorithm for Protein Function Prediction from Interaction Mapshe development of several approaches that exploit the information encoded in networks in order to infer protein function. In this paper we introduce a new algorithm based on the concept of topological overlap between nodes of the graph, which addresses the problem of the classification of partially

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