標題: Characteristic Determination for Solid State Devices with Evolutionary Computation: A Case Study
作者: Hung, Ping-Chu
Chen, Ying-ping
Zan, Hsiao Wen
資訊工程學系
Department of Computer Science
關鍵字: Characteristic determination;Solid state devices;ECGA;Adaptive discretization;Split-on-demand;SoD
公開日期: 2007
摘要: In this paper, we develop a new optimization framework that consists of the extended compact genetic algorithm (ECGA) and split-on-demand (SoD) to tackle the characteristic determination problem for solid state devices. As most decision variables of characteristic determination problems are real numbers due to the modeling of physical phenomena, and ECGA is designed for handling discrete-type problems, a specific mechanism to transform the variable types of the two ends is in order. In the proposed framework, ECGA is used as an optimization engine, and SoD is adopted as the interface between the engine and the problem. Moreover, instead of one mathematical model with various parameters. characteristic determination is in fact a set of problems of which the mathematical formulations may be very different. Therefore, in this study, we employ the proposed framework oil three study cases to demonstrate that the technique proposed in the domain of evolutionary computation can provide not only the high quality optimization results but also the flexibility to handle problems of different formulations.
URI: http://hdl.handle.net/11536/9024
ISBN: 978-1-59593-697-4
期刊: GECCO 2007: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOL 1 AND 2
起始頁: 2029
結束頁: 2036
Appears in Collections:Conferences Paper