In recent years, several frameworks have been developed for processing very large quantities of data on large clusters of commodity PCs. These frameworks have focused on fault-tole...
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
: A general framework for solving combinatorial optimization problems heuristically by the Ant System approach is developed. The framework is based on the concept of a construction...
Important robotic tasks could be most effectively done by powerful and accurate manipulators. However, high accuracy is generally unattainable in manipulators capable of producing...
Marco A. Meggiolaro, Peter C. L. Jaffe, Steven Dub...
Modern computing environments, such as enterprise data centers, Grids, and PlanetLab, introduce distributed services to address scalability, locality, and reliability. Web Service...
Robert Adams, Paul Brett, Subu Iyer, Dejan S. Milo...