Shailesh Tiwari

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In maintenance, regression testing is used to revalidate modified software which is also an expensive and frequently executed process. In conventional regression testing approach, developers generally re-run all test suite or selectively run a sub-set of existing test cases on the modified version of program. After executing the test cases over program,(More)
Although a number of nature inspired algorithms exist in literature to solve optimization problems, yet there is always a need of new algorithm which can search for optimum solution in minimum time. This paper proposes a new optimization algorithm for solving optimization problems. Proposed algorithm has been compared with existing algorithm like Genetic(More)
In this paper, a variant of particle swarm optimization (PSO) algorithm using modified time varying acceleration coefficients (PSO-TVAC) has been proposed and applied in creation of new test cases for modified code in regression testing. The performance of the proposed algorithm is compared with other existing PSO algorithms on five well known benchmark(More)
Natural phenomenon can be used to solve complex optimization problems with its excellent facts, functions, and phenomenon. In this paper, a survey on physics-based algorithm is done to show how these inspirations led to the solution of well-known optimization problem. The survey is focused on inspirations that are originated from physics, their formulation(More)
An Environmental Adaption Method (EAM) has been recently proposed in which, each solution updates its structure on the basis of current environmental fitness and its own fitness. EAM uses a new operator known as adaption operator. In this paper, an improved EAM, henceforth called as IEAM has been proposed and proper tuning of parameters of algorithm has(More)
Environmental Adaptation Method (EAM) and Improved Environmental Adaptation Method (IEAM) were proposed to solve optimization problems with the biological theory of adaptation in mind. Both of these algorithms work with binary encoding, and their performance is comparable with other state-of-art algorithms. To further improve the performance of these(More)