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Optimization of Rosenbrock function usingGenetic Algorithm
2021
Journal:  
Turkish Journal of Computer and Mathematics Education
Author:  
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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2021
Journal:  
Turkish Journal of Computer and Mathematics Education
Author:  
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Turkish Journal of Computer and Mathematics Education

Journal Type :   Uluslararası

Metrics
Article : 1.706
Cite : 100
2023 Impact : 0.071
Details
Turkish Journal of Computer and Mathematics Education