TY - JOUR
T1 - A Hybrid Intelligent Algorithm for Fuzzy Dynamic Inventory Problem
AU - 
JO - Journal of Information and Computing Science
VL - 4
SP - 235
EP - 244
PY - 2024
DA - 2024/01
SN - 1
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22834.html
KW - Fuzzy variable, inventory, dynamic programming, neural network, genetic algorithm

AB - In this paper, a fuzzy inventory problem with multiple commodities is casted into a dynamic pro-
gramming model with continuous state space and decision space. In order to solve the dynamic programming
model, genetic algorithms are used to get samples of the optimal cost functions, and then neural networks are
trained to approximate the optimal cost function on a randomly generated sample set, which may bypass “the
curse of dimensionality”. A hybrid intelligent algorithm is thus produced to get the optimal cost functions
functions that represented by neural networks. Lastly, a numerical example is given for illustrating purpose