Solving Container Loading Problem with Genetic Algorithm

The aim of this study is to solve the evaluated application within the scope of the container loading problem by using a genetic algorithm. Taking into account the loading constraints, finding an optimal result that contains an acceptable solution was investigated with the help of maximization of goods to be loaded to the container. By using an evolutionary algorithm (genetic algorithm) in the study, an optimal solution is investigated by producing new generations according to "the best survivals" principle. the result was tried to be found by taking into consideration the fitness values specified for the produced new generations. In the study, how the goods of the logistically used companies are loaded into containers is evaluated. Also, as a target(aim) function, to decrease transport cost of the company was argued by specifying the maximum load to be carried by a single container.