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Job Shop Scheduling Using Estimation of Distribution Algorithms
Masahiro Fujimoto,Toru Eguchi 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper presents an application of Estimation of Distributed Algorithms to the job shop scheduling withthe objective to minimize tardiness of jobs. The priority values for job selection are coded as genes and estimated byEDAs. Three kinds of methods for estimating the priorities are tested. In addition, the optimization method using the mixture of EDA and an effective priority rule for job selection is examined. Numerical experiments show that the performance of EDAs is comparable to that of a genetic algorithm using a random key coding.
Masahiro Sekimoto,Sadao Kawamura,Tomoya Ishitsubo,ShinsukeAkizuki,Masayuki Mizuno 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper aims at generating desired feedforward torque for a specified motion by reuse of time-series to rque data acquired by the iterative learning control. The suggested method named motion-scalet rans for mation realizes a motion to an arbitrarily specified posture of a two-DOF planar robot arm on the basis of arithmetical operations of time-series to rque of only four motions. The algorism is theoretically presented, and the effectiveness is confirmed in experiments. It is shown by the experimental results that the trajectory tracking error so fangular velocities by the motion-scalet rans formationt end to be smaller than those by the computed to rque method.