Abstract
There are numbered of Numerical and Mathematical Problem that takes the exponential time to process called NP Problems. These kinds of problems always need some optimization algorithm to complete the process in effective time. Genetic is one of the adaptive evolutionary algorithmic approaches to solve such NP problems in optimize time frame. In this work, A Genetic approach is defined to optimize the solution of Rosenbrock's valley problem. The work also includes the Optimization analysis of different parametric changes in selection and crossover phase. In this paper, the result of the diverse models is presented in the form of the graph.
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