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Current Topics in Artificial Intelligence: 11th Conference by Roque Marín, Eva Onaindía, Alberto Bugarín, José Santos

By Roque Marín, Eva Onaindía, Alberto Bugarín, José Santos

This publication constitutes the completely referred post-proceedings of the eleventh convention of the Spanish organization for synthetic Intelligence, CAEPIA 2005, held in Santiago de Compostela, Spain in November 2005.

The forty eight revised complete papers awarded including an invited paper have been conscientiously chosen in the course of rounds of reviewing and development from an preliminary overall of 147 submissions. The papers span the whole spectrum of man-made intelligence from foundational and theoretical concerns to complicated functions in numerous fields.

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Extra resources for Current Topics in Artificial Intelligence: 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, Santiago de Compostela,

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Let K = (n, m, p, A, b) be any instance of MKP. Then the following inequalities are satisfied. min{f (αopt ) : ω ∈ (0, 1]m } = min{f (αopt ) : ω ∈ (IR+ )m } SR(K,ω)LP SR(K,ω)LP opt m min{f (αopt SR(K,ω)LP ) : ω ∈ (0, 1] } ≥ f (αK ), (8) (9) Here αopt SR(K,ω)LP denotes the solution of the relaxed surrogate problem SR(K, ω)LP . 1 A Genetic Algorithm for Computing the Surrogate Multipliers The following is a simple genetic algorithm (GA) to obtain approximate values for ω (see [1]). In this GA the individuals will be binary 0–1 strings, representing ω = (ω1 , .

4. A. Otero, S. Barro P. F´elix, and F. Palacios. A tool for the analysis and synthesis of alarms in patient monitoring. In FUSION2004, pages 951–958, 2004. 5. A. Otero, CV. Rodr´ıguez, J. Correa, M. Rodr´ıguez, and P. F´elix. A fuzzy constraint satisfaction approach for landmark recognition in mobile robotics. In IPMU2004, pages 183–191, 2004. 6. LA. Zadeh. The concept of a linguistic variable and its application to approximate reasoning. Information Science, 8:199–249, 1975. es Abstract. This paper defines a meta-reasoning model for real-time agents.

Our algorithm introduces a flipping search strategy that includes random walking in hypercubes of the kind {0, 1}n. Our experimental results show that the local search procedure increases the quality of the solutions with respect to those obtained by other evolutionary algorithms based on the surrogate problem. The rest of the paper is organized as follows. Section 2 deals with the surrogate problem associated to an instance of the MKP. In section 3 we present our evolutionary algorithm for solving the MKP that incorporates our local search procedure.

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