Multi-objective Fresh Agricultural Product Distribution Path Optimization Based on Improved Genetic Algorithm
Cao Qian
Shao J-ping
Sun Yan-an
Abstract：To improve the efficiency of fresh agricultural product logistics distribution , a general three-lay-er 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 in-troduced 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 practi -cal application .
Keywords：fresh agricultural productsdistribution routing optimizationgenetic algorithm ( GA)
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 71-76 )