Titlebook: MICAI 2002: Advances in Artificial Intelligence; Second Mexican Inter Carlos A. Coello Coello,Alvaro Albornoz,Osvaldo Ca Conference proceed

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Feature Matching Using Accumulation Spacesf an abstract space; a space similar to the Hough space. In such a space, found clusters determine possible 2D rotations and scale changes of the object in the image. Finally the relative position between model and image features is verified in each cluster. The use of a space of accumulation drasti

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MPSA: A Methodology to Parallelize Simulated Annealing and Its Application to the Traveling Salesmaning (SA) algorithm in parallel. The initial solution for each internal cycle is set through a Monte Carlo random sampling to adjust the Boltzmann distribution at the cycle beginning. MPSA uses an asynchronous communication scheme and any implementation of MPSA leads to a parallel Simulated Annealing

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A Cultural Algorithm for Constrained Optimization for global optimization. The approach is based on a cultural algorithm combined with evolutionary programming and we show that produces highly competitive results at a relatively low computational cost.

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Penalty Function Methods for Constrained Optimization with Genetic Algorithms: A Statistical Analysiion, they have to be adapted to tackle the constrained cases, i.e. those in which not all representable solutions are valid. In this work we experimentally compare 5 ways to attain such adaptation. Our analysis relies on the usual method of selecting an arbitrary suite of test functions (25 of these

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Automatic Generation of Control Parameters for the Threshold Accepting Algorithmroblem domain and size. This approach differs from the traditional methods that require knowing first the problem domain, and then knowing how to select the parameters values to solve specific problem instances. The proposed method is based on a sample of problem instances, whose solution allows us

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Time-Domain Segmentation and Labelling of Speech with Fuzzy-Logic Post-Correction Rules rich information for such signal descriptions. However a first interpretation of the time-domain characteristics of the speech utterances may be enough for obtaining important information contained in the signal in a faster way. This paper shows that segmentation and labelling of speech may be perf