Many Multi-Objective Evolutionary Algorithms (MOEAs) have been proposed in recent years. However, almost all MOEAs have been evaluated on problems with two to four objectives only...
: We propose a novel evolutionary approach to the problem of timing-driven FPGA placement. The method used is evolutionary programming (EP) with incremental position encoded in the...
Abstract. Computer vision algorithms are currently developed by looking up the available operators from the literature and then arranging those operators such that the desired task...
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an importan...
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...