DocumentCode :
3300333
Title :
Mission assignment approach of team service robots based on evolutionary algorithm
Author :
Shi, Leina ; Si, Lingling ; Wang, Miaomiao ; Zhang, Ning
Author_Institution :
HanDan Coll., Handan, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
493
Lastpage :
498
Abstract :
This work is the first step in the development of a centralized decision making agent for the IWARD project that is the extension of two difficult problems VRP-TW and the MC-VRP combined together. In this paper we presented the problem and proposed a resolution method using the evolutionary algorithms. Improving the local search algorithms and the crossover techniques, taking into account the mission duration, not only the order of the missions would be important avenues for future improvements, but also the variation of the parameters mainly the mutation factor and population sizes could be also beneficial.
Keywords :
Costs; Decision making; Educational technology; Evolutionary computation; Intelligent robots; Paper technology; Routing; Scheduling algorithm; Service robots; Vehicles; Evolutionary Algorithms; Real-time Control; Scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Educational and Network Technology (ICENT), 2010 International Conference on
Conference_Location :
Qinhuangdao, China
Print_ISBN :
978-1-4244-7660-2
Electronic_ISBN :
978-1-4244-7662-6
Type :
conf
DOI :
10.1109/ICENT.2010.5532254
Filename :
5532254
Link To Document :
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