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For past recent years, electric power companies are shifting towards the major restructuring process and deregulated market scenario. Competition has been introduced in the power system all over the world with the aim of increasing the efficiency of the industrial sector and reducing the cost of electricity to the customers. In the competitive electricity markets, the power producers are required...
Microarray dataset often contains huge number of data, only a fraction of which comprise significant differentially expressed genes. In this article, t-test is applied to identify the precise and interesting genes which are responsible for cause of cancer. After precise identification, a new embedded approach is proposed where in a genetic algorithm (GA) is combined with Artificial neural network...
Optimizing a stock market portfolio requires decision making at two distinct stages, first is to select the stocks and second is to assign distribution of investment amount among these selected stocks. Given the historical data of stocks, the role of optimization models is to select stocks and assign portfolio proportion to the selected stocks. Selection and weight assignment to stocks are co-occurring...
A new fuzzy c-means clustering with non-extensive entropy regularization is proposed in this paper. The purpose of entropy regularization is to form approximate solutions of singular problems in the maximum entropy framework. The non-extensive entropy with Gaussian gain is generally used for identifying non-uniform probability densities as in regular texture patterns. It is thus well suited for regularizing...
Genetic algorithms have been successfully applied in the area of software testing. The demand for automation of test case generation in object oriented software testing is increasing. Extensive tests can only be achieved through a test automation process. The benefits achieved through test automation include lowering the cost of tests and consequently, the cost of whole process of software development...
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