Abstract. In this paper, we propose an approach for solving hierarchical multi-objective optimization problems (MOPs). In realistic MOPs, two main challenges have to be considered:...
Abstract. This paper introduces a new technique called adaptive elitistpopulation search method for allowing unimodal function optimization methods to be extended to efficiently lo...
We search for assignments of numbers to the amino acids (property codes) that maximize the autocorrelation function signal in given protein sequence data by an iterative method. Ou...
Most modern RDBMS depend on the query processing optimizer’s cost model to choose the best execution plan for a given query. Since the physical IO (PIO) is a costly operation to...
Runtime parallel optimization has been suggested as a means to overcome the difficulties of parallel programming. For runtime parallel optimization to be effective, parallelism a...
David A. Penry, Daniel J. Richins, Tyler S. Harris...