One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
- Data path connection elements, such as multiplexers, consume a significant amount of area on a VLSI chip, especially for FPGA designs. Multiplexer optimization is a difficult pro...
We present a new randomized sorting algorithm on the Bulk-SynchronousParallel (BSP) model. The algorithm improves upon the parallel slack of previous algorithms to achieve optimal...
Alexandros V. Gerbessiotis, Constantinos J. Siniol...
Running several sub-optimal algorithms and choosing the optimal one is a common procedure in computer science, most notably in the design of approximation algorithms. This paper d...
Spatial queries for extracting data from wireless sensor networks are important for many applications, such as environmental monitoring and military surveillance. One such query i...