Volume 29, Issue 1
DOI: 10.24205/03276716.2020.139
LOGISTICS PATH OPTIMIZATION BASED ON COGNITIVE PSYCHOLOGY AND CONSUMERS’ PSYCHOLOGICAL PREFERENCE OF WAIT TIME
Abstract
Currently, the logistics path planning often falls short of the consumers’ preference of wait time. Based cognitive psychology, this paper aims to optimize the logistics path from the perspective of consumers’ psychological preference of wait time. Starting with the traditional ant colony algorithm, a hybrid ant colony algorithm was designed, which chooses the path randomly, and determines the logistics path in a manner similar to roulette selection. The logistics path was optimized by means of cumulative foreground model. Through simulation experiment, the hybrid ant colony algorithm was found to effective in optimization of logistics path; the cost of logistics transportation does not need to be optimized if the consumers have a high psychological preference for wait time; the pheromone volatilization factor between nodes has a positive correlation with path selection speed and the satisfaction of consumers’ psychological preference. The research findings provide a new reference for optimizing logistics path in the light of cognitive psychology and consumer preferences.
Keywords
Logistics Path, Wait Time, Psychological Preference, Hybrid Ant Colony Algorithm.