Optimum Design of Balanced SAW Filters Using Multi-Objective Differential Evolution

被引：0
|
作者：
Tagawa, Kiyoharu [1 ]
Sasaki, Yukinori [2 ]
Nakamura, Hiroyuki [2 ]
机构：
[1] Kinki Univ, 3-4-1 Kowakae, Higashiosaka, Osaka 5778502, Japan
[2] Panasonic Elect Devices Co Ltd, Osaka 5718506, Japan
来源：
SIMULATED EVOLUTION AND LEARNING | 2010年 / 6457卷
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Three Multi-Objective Differential Evolutions (MODEs) that differ in their selection schemes are applied to a real-world application, i.e., the multi-objective optimum design of the balanced Surface Acoustic Wave (SAW) filter used in cellular phones. In order to verify the optimality of the Pareto-optimal solutions obtained by the best MODE, those solutions are also compared with the solutions obtained by the weighted sum method. Besides, from the Principal Component Analysis (PGA) of the Pareto-optimal solutions, an obvious relationship between the objective function space and the design parameter space is disclosed.
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页码：466 / +
页数：2
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