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Particle Swarm Optimization 구현을 위한 안드로이드 애플리케이션 개발
최낙윤(Nakyoon Choi),최영림(Younglim Choi),윤재훈(Jaehun Yun),박규영(Gyuyoung Park),김종욱(Jong-Wook Kim) 한국정보기술학회 2013 한국정보기술학회논문지 Vol.11 No.1
In this paper, particle swarm optimization (PSO) acknowledged as the fast global optimization method has been implemented with an Android application to perform global optimization on smartphone. For the performance validation of the PSO application, the average function evaluation numbers and the run times are measured for the period to search the global minima for the four benchmark functions. The measurement have been executed for a desktop PC and a smartphone respectively for the performance comparison. In addition, it is verified that the proposed PSO application can locate the global minima of the benchmark functions within 1.2 milliseconds in maximum, which implies the capability of the proposed application to solve general engineering problems nearly real-time on the smartphone.
최민구(MinKoo Choi),최낙윤(Nakyoon Choi),최영림(Younglim Choi),김종욱(Jong-Wook Kim) 한국정보기술학회 2011 한국정보기술학회논문지 Vol.9 No.6
In this paper we newly propose optimization method with the performance of the high speed of the global optimization uDEAS(univariate DEAS) ported to the mobile platform, Android platform and performed the ARM Core CPU’s operation to find the global optimum value. To implement the Android platform, Android Java available to native code by creating as hared library using the JNI werere used. To test the perform an ceusing the well-known cost functions and the computation time the number of operations were simulated by MID devices. Optimization was performed on a PC when compared with equivalent results showed.