Title :
Dealing with vehicle routing problem under multi-objective using improved genetic algorithm
Author :
Hui Liu ; Yongduan Song
Author_Institution :
Sch. of Autom., Chongqing Univ., Chongqing, China
fDate :
May 31 2014-June 2 2014
Abstract :
This paper investigates the vehicle routing problem (VRP) under multi-objective constraints. More specifically, we consider the distance, fixed cost, time, together with risk simultaneously. To get a quicker and more accurate solution, several improvements are proposed in applying GA for optimization search. Practical test confirms the effectiveness of the proposed method.
Keywords :
genetic algorithms; vehicle routing; VRP; improved genetic algorithm; multiobjective constraints; optimization search; vehicle routing problem; Biological cells; Encoding; Equations; Genetic algorithms; Mathematical model; Vehicle routing; Vehicles; Genetic algorithm; Multi-objective optimization; Risk; Vehicle routing problem;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852899
