Finding Solution by Genetic Algorithm

Abstract

Nowadays, various optimization problems are exited in many areas; for example, production scheduling, transportation, material handling, production planning etc. There are many solutions for these problems but it is difficult to find the best solution. However, a good solution can be found from search solace by a heuristic method. Genetic algorithm, which is not complex technique compared to the others, is one of the local search heuristic, In this paper, the genetic algorithm’s basic concepts and some examples of applying this technique to some optimization problems are explained.