This paper proposes a real mathematical constraint satisfaction model which defines the timetabling problem in the Faculty of Chemical Sciences and Engineering (FCSE) at the Autonomous University of Morelos State, Mexico. A Constructive Approach Algorithm (CAA) is used to obtain solutions in the proposed model. A comparison is made between the CAA’s results and the schedule generated by the FCSE administration. Using the constraint satisfaction model, it is possible to improve the allocation of class hours in the FCSE so that classroom use is more efficient.
Wavelet transforms have proved to be very powerful tools for image compression. Previous studies haveverified that there is a strong correlation between the sign of a wavelet coefficient and the signs of their neighbors. This correlation opens the possibility of using a sign predictor in order to improve the image compression process. In this paper a new sign coding approximation method for the wavelet coefficients in a 2D image codec based on an iterated local search algorithm (ILS) is presented. The efficiency of the proposed algorithm versus simulated annealing algorithm (SA) and genetic algorithm (GA) using standard images and benchmarks of Kodak is compared. The proposed sign prediction algorithm is as efficient as other methods and it provides a significant reduction of wavelet coefficients sign information in the final bit-stream.
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