DocumentCode
2001523
Title
Study on Multi-Object Optimization of Logistics Network Based on Genetic Algorithm
Author
Liu, Qiang
Author_Institution
Sch. of Inf. Manage., Shandong Economic Univ., Jinan, China
Volume
2
fYear
2008
fDate
13-17 Dec. 2008
Firstpage
210
Lastpage
214
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location
Suzhou
Print_ISBN
978-0-7695-3508-1
Type
conf
DOI
10.1109/CIS.2008.145
Filename
4724767
Link To Document