Optimising hazardous materials transport network based on multi-objective hybrid intelligence algorithm

Abstract

Hazardous materials transport network optimisation is the basis of ensuring the safety of hazardous materials transport. Considering the uncertainty of much basic information in hazardous materials transport system, this paper proposes the multi-objective chance-constrained programming model for hazardous materials transport network under uncertainty optimisation theory framework. Then, the paper builds the multi-objective hybrid intelligent algorithm to solve the model. The algorithm applies the stochastic simulation and fuzzy simulation to simulate uncertain parameters, adopts the priority coding way to code chromosome, applies the chromosome marker selection strategy to complete the selection operation, adopts the priority index crossover operator to ensure offspring's inheritance and advantages for the parent, uses the single parent vicinal swap method to complete mutation and applies the exclusive method to build dominating sets. Finally, the case study shows the model and algorithm are feasible.