Multiprocessor task scheduling is an important and computationally difficult problem. This paper proposes a comparison study of genetic algorithm and list scheduling algorithm. Bo...
The max k-armed bandit problem is a recently-introduced online optimization problem with practical applications to heuristic search. Given a set of k slot machines, each yielding p...
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene ...
Algorithm portfolios aim to increase the robustness of our ability to solve problems efficiently. While recently proposed algorithm selection methods come ever closer to identifyin...
Serdar Kadioglu, Yuri Malitsky, Ashish Sabharwal, ...
Abstract—This paper proposes a strategy to organize metricspace query processing in multi-core search nodes as understood in the context of search engines running on clusters of ...
Veronica Gil Costa, Ricardo J. Barrientos, Maurici...