We propose an efficient method for complex optimization problems that often arise in computer vision. While our method is general and could be applied to various tasks, it was mai...
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
—Control design of Self-servo Track Writer (SSTW) has become an important issue in Hard Disk Drive research. This paper discusses the error propagation problem in SSTW control. A...
This work introduces a general mathematical framework for non-stationary fitness functions which enables the exact definition of certain problem properties. The properties' in...
A minimal perfect function maps a static set of keys on to the range of integers {0,1,2, ... , - 1}. We present a scalable high performance algorithm based on random graphs for ...
Kumar Chellapilla, Anton Mityagin, Denis Xavier Ch...