Multiple objective optimization for multistage transportation system under uncertainty

Abstract

This paper discusses a multistage dynamic transportation allocation problem (DTAP) in a earth-rock transportation system under fuzzy environment, which is a multi-objective optimization process for minimizing total cost, duration and waste. Uncertain parameters are characterized as triangular fuzzy variables and fuzzy expected value concept is introduced to deal with the uncertainty. Dynamic programming particle swarm optimization algorithm (DP-based PSO) is developed to solve the above problem. Finally, the earth and rockfill dam construction in Pubugou Hydropower is used as a practical application example to demonstrate the practical application value of the optimization method, and the result is presented to highlight the newly developed innovation of the model and optimization algorithm. © Springer-Verlag Berlin Heidelberg 2014.