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Research on Logistic Scheduling Problem with Fuzzy Time Window
Yuqiang Chen,Jianlan Guo 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.1
Study the problem of logistic scheduling problem with fuzzy time window, construct mathematical model, and propose double objective function method. In the solution process, for the feature of the double objective functions, use the phased. In the first phase, use the chaos PSO to get the optimal solution. In the second phase, use simulated annealing algorithm and the preliminary solutions got from the first phase to solute the objective function.
Research on Associated Logistics Transportation Scheduling With Hard Time Windows Based On Chaos PSO
Yuqiang Chen,Jianlan Guo,Xuanzi Hu 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.6
This paper studies the associated logistics transportation scheduling problem with hard time windows and constructs the mathematical model. Optimize the chaos PSO problem using the improved adaptive inertia weight factor method to improve the accuracy and efficiency of the algorithm. Comparing our method with the GA and standard PSO algorithm, our algorithm has better performance with solving such problem.
Yuqiang Chen,Jianlan Guo 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3
Research the Incident Vehicle Routing Problem with Soft Time-windows (IVRP-STW). Associated logistics scheduling problem with soft time windows using the logistic function optimization method to improve the chaotic particle algorithm, compared with the GA and the standard PSO algorithm. Simulation results show that such optimization method can effectively improve the global search of the particles in the particle swarm and the ability of local search is effective in resolving such problems.