Multi-objective Fresh Agricultural Product Distribution Path Optimization Based on Improved Genetic Algorithm

To improve the efficiency of fresh agricultural product logistics distribution, a general three-layer fresh agricultural products distribution network is proposed, and a multi-objective mathematical model with the distribution cost minimum and customer satisfaction maximum established. Penalty function is introduced to deal with constraints and GA put forward to solve this question, according to the Pareto solution level and the level of congestion, sorting the same level of different individuals before choosing operation. Then the elite reserved strategy and maximum preserved crossover operation are used to obtain the Pareto optimal solutions. To verify the performance of algorithm, firstly, it is compared with the results of the standard genetic algorithm. At the same time, it sets different parameters and the result error is reduced. The results show that the established model and algorithm are effective and can provide guidance for practical application.