Kiyoharu Tagawa

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An optimum design technique for balanced surface acoustic wave (SAW) filters is proposed. First of all, in order to evaluate the performance of balanced SAW filters by the computer simulation, a numerical model of balanced SAW filters is derived by using mixed-mode scattering parameters. Then the structural design of balanced SAW filters is formulated as a(More)
A multi-objective optimum design method of the balanced Surface Acoustic Wave (SAW) filter is proposed. The frequency response characteristics of the balanced SAW filters are governed primarily by their geometrical structures. Besides, specifications for a balanced SAW filter is given by using several criteria. Therefore, in order to realize desirable(More)
Balanced surface acoustic wave (SAW) filters play a key role in the modern radio frequency (RF) circuits of cellular phones. The frequency response characteristics of balanced SAW filters depend on their geometrical structures. Therefore, in order to find desirable balanced SAW filters' structures, the design of them is formulated as an optimization(More)
SUMMARY For sampling various solutions from the entire Pareto front of the multiobjective resource division problem, a new Genetic Algorithm (GA) based on an evolutionary theory advocated by Kinji Imanishi is proposed. First, two types of distance between two individuals, namely, structural and functional distances, are introduced and used to define four(More)
A new Multi-Objective Evolutionary Algorithm (MOEA) based on Differential Evolution (DE), i.e., Indicator-Based DE (IBDE) is proposed. IBDE employs a strategy of DE for generating a series of offspring. In order to evaluate the quality of each individual in the population, IBDE uses the exclusive hypervolume as an indicator function. A fast algorithm called(More)
This paper focus on the Many-Hard-objective Optimization Problem (MHOP) in which a lot of objectives are limited by a goal point. In order to obtain an approximation of Pareto-optimal feasible solution set for MHOP, a new algorithm called Differential Evolution for Many-Hard-objective Optimization (DEMHO) is proposed. For sorting non dominated solutions,(More)