Optimization of Rosenbrock function usingGenetic Algorithm

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Ankita

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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How to Cite
Ankita. (2021). Optimization of Rosenbrock function usingGenetic Algorithm. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(14), 3364–3368. https://doi.org/10.17762/turcomat.v12i14.10920
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Research Articles