Abstract- Sequential parameter optimization is a heuristic that combines classical and modern statistical techniques to improve the performance of search algorithms. To demonstrate...
Thomas Bartz-Beielstein, Christian Lasarczyk, Mike...
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
The problem of task assignment in heterogeneous computing systems has been studied for many years with many variations. We have developed a new hybrid approximation algorithm. The...
This paper presents an in-depth study of the theory and algorithms for the SPFD-based (Set of Pairs of Functions to be Distinguished) rewiring, and explores the flexibility in the...