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Path planning for mobile robot using self-adaptive learning particle swarm optimization被引量：52
《Science China(Information Sciences)》2018年第5期263-280,共18页Guangsheng LI Wusheng CHOU 
supported by National Basic Research Program of China (973 Program) (Grant No. 2013CB035503)
As a challenging optimization problem, path planning for mobile robot refers to searching an optimal or near-optimal path under different types of constrains in complex environments. In this paper, a self-adaptive lea...
关键词：path planning self-adaptive learning particle swarm optimization learning strategy learningmechanism boundary violations handling 
Toward multi-programmed workloads with different memory footprints: a self-adaptive last level cache scheduling scheme
《Science China(Information Sciences)》2018年第1期132-145,共14页Jingyu ZHANG Minyi GUO Chentao WU Yuanyi CHEN 
supported by National Basic Research Program of China (973 Program) (Grant No. 2015CB352403);National Natural Science Foundation of China (Grant Nos. 61261160502, 61272099, 61303012, 61572323, 61628208);Scientific Innovation Act of STCSM (Grant No. 13511504200);EU FP7 CLIMBER Project (Grant No. PIRSES-GA-2012-318939);CCF-Tencent Open Fund
With the emerging of 3 D-stacking technology, the dynamic random-access memory（DRAM）can be stacked on chips to architect the DRAM last level cache（LLC）. Compared with static randomaccess memory（SRAM）, DRAM is la...
关键词：3D-stacking technology cache architecture cache scheduling multi-programmed workloads memory system performance optimization 
Bayesian prestack seismic inversion with a self-adaptive Huber-Markov random-field edge protection scheme被引量：2
《Applied Geophysics》2013年第4期453-460,512,共9页田玉昆 周辉 陈汉明 邹雅铭 关守军 
supported by the National Basic Research Program of China(973 Program)(No.2013CB228603);National Science and Technology major projects(No.2011ZX05024 and 2011ZX05010);the National Natural Science Foundation of China(No.41174119)
Seismic inversion is a highly ill-posed problem, due to many factors such as the limited seismic frequency bandwidth and inappropriate forward modeling. To obtain a unique solution, some smoothing constraints, e.g., t...
关键词：Huber edge punishment function markov random-field bayesian framework prestack inversion 
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