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
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;
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
DOI :
10.1109/ICAL.2008.4636476
