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B1404
Title: Optimal non-collapsing space-filling designs for irregular experimental regions Authors:  Ray-Bing Chen - National Cheng Kung University (Taiwan) [presenting]
Abstract: Space-filling and non-collapsing are two important properties in designing computer experiments. We study how the non-collapsing, space-filling designs for irregular experimental regions can be generated efficiently by the proposed metaheuristic methods. We solve this optimal design problem using variants of the discrete particle swarm optimization (DPSO) approaches. Numerical results, including an application in data center thermal management, are used to illustrate the performances of the proposed algorithms. Based on these numerical results, we assert that the most efficient approach is to reformulate the target optimal design problem as a constrained optimization problem and then use a modified DPSO to solve the constrained optimization problem.