Research Journal of Applied Sciences

Year: 2016
Volume: 11
Issue: 12
Page No. 1445 - 1449

Determining Maximum Value and Optimizing a Bivariate Function Using Genetic Algorithm

Authors : Taherh Shokuhi, Majid Pazand and Nasrin Hamidi

Abstract: Now a days, obtaining the extermum points of functions are important in optimization. One of the used methods for optimization and finding extermum points of functions is genetic algorithm. This study has introduced genetic algorithm briefly and used this method to examine maximum points of function: F = t2+β×E2 within interval of variables t<63 and E<63. This process is done based on two assumption of $ = 0 and $ = 1. The obtained results are used to find maximum points. To assurance of output results of genetic algorithm, differentiation method was used to find maximum point of function in considered function. The obtained results indicate that output of this method is equal to output of genetic algorithm method. In the following part of study, the effect of mutation is examined on process of obtaining results of genetic algorithm. The next step includes using a set of schema to speeding up the convergence. The obtained results indicate that this action would considerably speeds up the convergence.

How to cite this article:

Taherh Shokuhi, Majid Pazand and Nasrin Hamidi, 2016. Determining Maximum Value and Optimizing a Bivariate Function Using Genetic Algorithm. Research Journal of Applied Sciences, 11: 1445-1449.

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