Authors: Ya-Bo Luo
Addresses: School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
Abstract: The Machine Layout Problem (MLP) is faced with two difficulties: first, the uncertainty of constringency in mathematical methodology and second, the difficulty in accuracy location. This research takes the advantage of the polar coordinates system, which can well keep the relative hereditary factors in the design variables, to solve the problem of constringency, and takes the virtual reality technology to solve the problem of visualised detailed location. First, the construction of optimisation model for MLP is proposed, and then based on which the polar coordinates-based Genetic Algorithm (GA) methodology is presented to improve the efficiency of constringency. Second, the virtual layout tactics are proposed to realise the visualised accuracy location, which take the results from GA as initial values. Contrastive experiments demonstrate the combination of the polar coordinates-based GA and the virtual layout has improved the efficiency of constringency and the practical function of detailed locations.
Keywords: GAs; genetic algorithms; MLP; machine layout problem; virtual reality; constringency; virtual layout; polar coordinates.
International Journal of Computer Applications in Technology, 2009 Vol.35 No.2/3/4, pp.122 - 127
Available online: 20 Jun 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article