Optimization of Constrained Function Using Genetic Algorithm

Abstract

Optimization is the process of finding the minimum or maximum value that a particular function attains which also means finding the value for the independent variables of a function for which function is minimum or maximum. As real world problems are different and can be represented by different types of functions, so are the optimization algorithms. From last few decades, lot of research has been invested in developing different techniques of optimization suitable for different types of functions. These methods are broadly classified in to calculus based and search based methods.  After brief description on optimization and classification of different optimization problems, this study focuses on constrained optimization problem and the use of Genetic Algorithm to optimize  such problems.

Keywords: Optimization, Genetic Algorithm, Penalty function