Abstract
The solid transportation problem(STP) is an extension of the classical transportation problem and often arises in public distruibution systems. In real-world situation, due to the complexity of the social and economic environment as well as some unpredictable factors such as weather, a common problem is the difficulty for determining the proper values of model parameters. One way of handing such uncertainty in decision making envirovement is fuzzy mathematical programming.In this paper, we propose the improvement of genetic algorithm which combine with the integral valed based on ranking fuzzy numbers method and transaction of competitive objectives. The proposed algorithm is incorporated with problem-specific knowledge and conductive to find out a set of Pareto optimal solutions in the criteria space based on decision maker degree of optimism. Finally, the computer simulation results show that the proposed algotithm is efficient for solving the fuzzy multiobjective STP.
