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In this paper a scalability test over eleven scalable benchmark functions, provided by the current workshop (Evolutionary Algorithms and other Metaheuristics for Continuous Optimization Problems-A Scalability Test), are conducted for accelerated DE using generalized opposition-based learning (GODE). The average error of the best individual in the population has been reported for dimensions 50, 100,...
This paper proposes out a variation of particle swarm optimization with best neighbor and worst particle (BNWPPSO). In BNWPPSO, some particles will be constructed as new neighbors of each particle and the best one of them will have influence on the behavior of the particle. The update formula of position is modified also to balance the local search ability and global search ability more efficiency...
This paper presents a recognition model on gesture interaction, gesture recognition based on accelerations, which are collected by 3D accelerometer. Unlike most other vision-based gesture recognition, our method resorting to accelerations of the gesture in three directions. Gesture is divided into small units, and each unit is modeled by an HMM, the HMM classifies the gesture unit after being well...
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