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2019•IOP Conference Series Materials Science and EngineeringOpen access

Numerical Comparison of some Crossover in Genetic Algorithm for Two Dimensional Global Minimization Problem using C++

Muhamad Deni Johansyah, Herlina Napitupulu, Eddy Djauhari, Sukono Sukono, Julita Nahar

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Abstract

In this paper we simulate the comparison of numerical results of the different crossover method in genetics algorithm for solving global minimization problem. In this paper, the objective function is for 2 two variables function. The genetics algorithm is run using C++ program and implemented to several benchmark test functions of global optimization. The performance of each crossover method is analyse according to the numerical results, which show that certain crossover method is better for certain benchmark test function.

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In this paper we simulate the comparison of numerical results of the different crossover method in genetics algorithm for solving global minimization problem. In this paper, the objective function is for 2 two variables function. The genetics algorithm is run using C++ program and implemented to several benchmark test functions of global optimization. The performance of each crossover method is analyse according to the numerical results, which show that certain crossover method is better for certain benchmark test function.

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Available abstract

In this paper we simulate the comparison of numerical results of the different crossover method in genetics algorithm for solving global minimization problem. In this paper, the objective function is for 2 two variables function. The genetics algorithm is run using C++ program and implemented to several benchmark test functions of global optimization. The performance of each crossover method is analyse according to the numerical results, which show that certain crossover method is better for certain benchmark test function.

Key concepts: Crossover, Benchmark (surveying), Minification, Global optimization, Algorithm, Genetic algorithm, Function (biology), Mathematical optimization

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