Metamodels have been widely used in engineering design to facilitate analysis and optimization of complex systems that involve\ncomputationally expensive simulation programs.The accuracy of metamodels is directly related to the experimental designs used.\nOptimal Latin hypercube designs are frequently used and have been shown to have good space-filling and projective properties.\nHowever, the high cost in constructing them limits their use. In this paper, a methodology for creating novel Latin hypercube designs\nvia translational propagation and successive local enumeration algorithm (TPSLE) is developed without using formal optimization.\nTPSLE algorithm is based on the inspiration that a near optimal Latin Hypercube design can be constructed by a simple initial block\nwith a few points generated by algorithm SLE as a building block. In fact, TPSLE algorithm offers a balanced trade-off between the\nefficiency and sampling performance. The proposed algorithm is compared to two existing algorithms and is found to be much\nmore efficient in terms of the computation time and has acceptable space-filling and projective properties.
Loading....