Optimization of Rosenbrock function usingGenetic Algorithm
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Abstract
Nowadays, Optimization is the most interesting problems to be studied. It is a process of
selecting the best alternative among a given set of options. In the past few decades, a lot of
optimization algorithms came into existence to solve NP Hard problems. Genetic Algorithm is one of
thepopulations based meta-heuristic to solve such problems. Different benchmark functions are
available to test the performance ofoptimization algorithms. Rosenbrock function is a popular test
problem for optimization based algorithms. This paper presents experimental results on optimization
of Rosenbrock function used for performance evaluation of Genetic Algorithm.
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