An Efficient Algorithem for Solving Fuzzy Expected Value Model Problem
XIAO Ning
Abstract：Aiming at being difficult to solve fuzzy expected value model existing in uncertainty programming field,a new hy?brid intelligence algorithm that uses the fuzzy simulation and stochastic particle swarm optimization is put forward in this paper, fuzzy simulation is used to calculate fuzzy expected value function,in SPSO,using fuzzy simulation to calculate fitness and detail steps is designed. It overcomes many disadvantages such as taking a long time,computing complexity,resapsing into local extremum in the hybrid intelligence algorithm based on Genetic Algorithm,the numerical example is given to show feasibility and effictiveness of the algorithm for fuzzy expected value model,it has determinate practical value.
Keywords：SPSOfuzzy expected value modelfuzzy simulation
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1298-1302 )