Abstract This work has addressed the optimization issue of quasi-logarithmic quantizer for memoryless Laplacian source. An iterative method for determination of compression factor μ and support limit xmax that gives the highest signal-to-quantization noise ratio SQNR is advocated. Further we have explained the optimization procedure. The experimental results support the suitability and success of this model.... This work has addressed the optimization issue of quasi-logarithmic quantizer for memoryless Laplacian source. An iterative method for determination of compression factor μ and support limit xmax that gives the highest signal-to-quantization noise ratio SQNR is advocated. Further we have explained the optimization procedure. The experimental results support the suitability and success of this model. Read More Read Less

Abstract To solve multiple objective convex integer optimization problems, we proposed an interactive population based method in this paper. It is important to increase the speed of the search process for which we have used a heuristic procedure. It helped to detect the non-dominated solutions. We have documented the properties of this method.... To solve multiple objective convex integer optimization problems, we proposed an interactive population based method in this paper. It is important to increase the speed of the search process for which we have used a heuristic procedure. It helped to detect the non-dominated solutions. We have documented the properties of this method. Read More Read Less

Abstract We have designed a system to generate an algorithm for automatic machine learning of the game in chess. We defined the transposition database and conversion of the middle-code. We have obtained results and the outcome is implemented and finally verified.... We have designed a system to generate an algorithm for automatic machine learning of the game in chess. We defined the transposition database and conversion of the middle-code. We have obtained results and the outcome is implemented and finally verified. Read More Read Less