Shih-Cheng Horng

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In this paper, the problem of minimizing overkills and re-probes in wafer probe testing is formulated as a multiobjective optimization problem. Overkill is a measure of good dies that were considered bad and re-probe is an additional manual probe testing to save overkills. The goal is to provide an optimal setting of threshold values for engineers to decide(More)
0957-4174/$ see front matter 2011 Elsevier Ltd. A doi:10.1016/j.eswa.2011.09.050 q This work was partially supported by National Sc under Grant NSC100-2221-E-324-006. ⇑ Corresponding author. Address: No. 155, Sec. 2 Taiwan, ROC. Tel.: +886 2 28267281; fax: +886 2 282 E-mail addresses: (S.-C. Horng Lin), (F.-Y. Yang). In(More)
In this paper, we propose an ordinal optimization approach to solve for a good enough solution of the stochastic simulation optimization problem with huge decision-variable space. We apply the proposed ordinal optimization algorithm to G/G/1/K polling systems to solve for a good enough number-limited service discipline to minimize the weighting average(More)
The lithography performed on a stepper is a key process of integrated circuit manufacturing. To have a better resolution and alignment accuracy in lithography, it is important to model the overlay errors and compensate them into tolerances. The systematic overlay errors are commonly modeled as the sum of inter-field and intra-field errors. The inter-field(More)
A three-phase memetic algorithm (MA) is proposed to find a suboptimal solution for real-time combinatorial stochastic simulation optimization (CSSO) problems with large discrete solution space. In phase 1, a genetic algorithm assisted by an offline global surrogate model is applied to find N good diversified solutions. In phase 2, a probabilistic local(More)
A non-polynomial (NP)-hard combinatorial optimization problem that is associated with expanding service capacities and increasing service reliability in grid-based utility computing is investigated in this paper. The considered problem is decomposed into master and slave subproblems, with theoretical justification, and a computationally efficient two-level(More)