Title :
Studies on Selecting Partners of Enterprise Dynamic Alliance Based on Evolutionary Multi-Agent Techniques
Author_Institution :
Coll. of Comput. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou
Abstract :
Selecting partners of the manufacturing enterprise dynamic alliance is a problem of multi-objective optimization. There are some difficulties when traditional algorithm is used to solve multi-objective optimization. Therefore, a newly developed multi-agent technique was introduced to solve multi-objective optimization, and is combined with genetic algorithm to form evolutional multi-agent. The problem of multi-objective optimization of the selecting partners was solved by using evolutional multi-agent technique.
Keywords :
corporate modelling; genetic algorithms; multi-agent systems; enterprise dynamic alliance; evolutionary multiagent technique; genetic algorithm; multiobjective optimization; partner selection; Artificial intelligence; Computer aided manufacturing; Costs; Customer satisfaction; Delay; Design optimization; Educational institutions; Genetic algorithms; Intelligent robots; Logistics;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.1163
