DocumentCode
2999912
Title
Multi-objective vehicle scheduling problem based on customer satisfaction and hybrid genetic algorithm
Author
Jia, YongJi ; Wang, ChangJun ; Wang, Bing
Author_Institution
Sch. of Manage., Donghua Univ., Shanghai
fYear
2008
fDate
1-3 Sept. 2008
Firstpage
1934
Lastpage
1937
Abstract
The mathematic model of multi-objective vehicle scheduling problem based on customer satisfaction is proposed firstly, whose two trade-off objective functions are maximizing the customer satisfaction degree and minimizing the transportation cost. Then the hybrid genetic algorithm is proposed and the test result indicates that our algorithm is effective to solve such multi-objective vehicle scheduling problem.
Keywords
customer satisfaction; genetic algorithms; scheduling; transportation; customer satisfaction; hybrid genetic algorithm; multi objective vehicle scheduling problem; transportation cost minimization; Cost function; Customer satisfaction; Genetic algorithms; Logistics; Mathematical model; Mathematics; Optimal scheduling; Testing; Transportation; Vehicles; Customer satisfaction; Genetic algorithm; Multi-objective; Vehicle scheduling problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-2502-0
Electronic_ISBN
978-1-4244-2503-7
Type
conf
DOI
10.1109/ICAL.2008.4636476
Filename
4636476
Link To Document