DocumentCode :
175721
Title :
Improved ant colony based multi-objective multi-task routing for 4PL under non-reusable Capacity
Author :
Ren Liang ; Huang Min
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear :
2014
fDate :
May 31 2014-June 2 2014
Firstpage :
1000
Lastpage :
1004
Abstract :
Speeding of E-commerce and Internet nowadays promote development, reform and recombination of logistics industry. More and more professionals focus here and approve concept of 4PL, which is the integrator of logistics industry, owns obvious advantages, and can play a role in today´s highly competitive condition. In this paper, a multi-objective and multi-task routing problem of 4PL is considered, and the problem is simplified with mathematic and optimizing methods. To solve this complex mathematical model, this paper proposed a improved ant colony algorithm and compares it with basic ant colony algorithm. Numerical experiments show the effectiveness and robustness of the algorithm for the proposed problem.
Keywords :
Internet; ant colony optimisation; electronic commerce; logistics; production engineering computing; 4PL; Internet; ant colony based multiobjective multitask routing; e-commerce; logistics industry; nonreusable capacity; Heuristic algorithms; Industries; Logistics; Mathematical model; Optimization; Routing; Supply and demand; fourth party logistics routing problem; improved colony algorithm; multi-graph; multi-objective;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
Type :
conf
DOI :
10.1109/CCDC.2014.6852310
Filename :
6852310
Link To Document :
بازگشت