Title :
Study on Multi-Object Optimization of Logistics Network Based on Genetic Algorithm
Author_Institution :
Sch. of Inf. Manage., Shandong Economic Univ., Jinan, China
Abstract :
Use the concept of stochastic flow network to describe transportation optimization problems upon logistic system. Select transportation reliability, transportation cost and time as objectives, build model of network flow optimization in logistic network. Take MPs as unit to build model, so model¿s complexity is decreased. Use NSGA-II algorithm to solve built model and obtain the Pareto solutions of optimization problem.
Keywords :
computational complexity; genetic algorithms; transportation; genetic algorithm; logistics network; multi-object optimization; network flow optimization; stochastic flow network; transportation optimization problems; Computational intelligence; Cost function; Genetic algorithms; Information management; Information security; Logistics; Pareto optimization; Stochastic processes; Stochastic systems; Transportation; NSGA-II; multi-object genetic algorithm; stochastic-flow network;
Conference_Titel :
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-0-7695-3508-1
DOI :
10.1109/CIS.2008.145
