Title :
A Jumping-Genes Paradigm for Optimizing Factory WLAN Network
Author :
Chan, T.M. ; Man, K.F. ; Tang, K.S. ; Kwong, S.
Author_Institution :
City Univ. of Hong Kong
Abstract :
In this paper, a jumping-genes paradigm is proposed for optimizing the wireless local area network for an integrated-circuit factory. Through the base station placement, not only the best quality of service of the network is guaranteed, but also the performance of the network can be a tradeoff with the number of allowable base stations. This provides a greater flexibility for the designer when the factory environment such as physical space, building structure, equipment, and cost are the significant parts of the overall design criteria. The main feature of this optimization scheme is its capacity to yield the extreme minmax solutions under a specific allowable design, power-loss threshold. It provides a much wider range of solutions for selection, which includes the ultimate low-cost design without sacrificing the performance or vice versa. The obtained results revealed from this study indicated that the jumping-genes paradigm is an effective and reliable methodology for this type of design problem
Keywords :
genetic algorithms; integrated circuit manufacture; wireless LAN; factory WLAN network; genetic algorithms; integrated-circuit factory; jumping-genes paradigm; multiobjective evolutionary algorithms; optimization; power-loss threshold; wireless local area network; Base stations; Buildings; Costs; Design optimization; Local area networks; Minimax techniques; Optimization methods; Production facilities; Quality of service; Wireless LAN; Genetic algorithms; jumping genes; multiobjective evolutionary algorithms (MOEAs); optimization; wireless local-area network (WLAN);
Journal_Title :
Industrial Informatics, IEEE Transactions on
DOI :
10.1109/TII.2006.890528