Title :
Research on partners selection of collaborative design based on ant and genetic algorithm
Author :
Wang, Youyuan ; Xu, Weiping
Author_Institution :
Inst. of Ind. Eng., Nanchang Hangkong Univ., Nanchang, China
Abstract :
Optimizing collaborative design process can cut down the time to market, thus, acquire competitive advantage. Partner is very important to collaborative design, optimal combination of partners is a prerequisite for collaborative design, picking the wrong partner hurt both productivity and profitability. The issue of partners selection is a combinational optimize, this paper put forward a new method based on combination of genetic algorithm and ant algorithm, using genetic algorithm to generate preliminary pheromone distribution for ant algorithm, then ant algorithm search for optimal result, the method is applied simulation.
Keywords :
combinatorial mathematics; genetic algorithms; product design; productivity; profitability; ant algorithm searching; collaborative design optimization; combinational optimization; genetic algorithm; partners selection; pheromone distribution; productivity; profitability; Algorithm design and analysis; Collaboration; Companies; Genetics; Optimization; Time to market; ant algorithm; genetic algorithm; partners selection;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583480