In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
This paper investigates the problem of incremental joins of multiple ranked data sets when the join condition is a list of arbitrary user-defined predicates on the input tuples. ...
Apostol Natsev, Yuan-Chi Chang, John R. Smith, Chu...
Formula One motor racing is a rich sport that spends millions on research and development of highly optimized cars. Here we describe the use of a genetic algorithm to optimize 66 s...
—Routing is a critical operation in networks. In the context of data and sensor networks, routing strategies such as shortest-path, multi-path and potential-based (“all-path”...
Dynamic optimization has the potential to adapt the program’s behavior at run-time to deliver performance improvements over static optimization. Dynamic optimization systems usu...