Program runtime characteristics exhibit significant variation. As microprocessor architectures become more complex, their efficiency depends on the capability of adapting with wor...
— The dynamic nature of mobile ad hoc networks poses fundamental challenges to the design of service composition schemes that can minimize the effect of service disruptions. Alth...
—Recent progress in Wireless Sensor Networks technology has enabled many complicated real-world applications. Some of the applications demand a non-trivial amount of computation;...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Distributed Constraint Optimization (DCOP) is a general framework that can model complex problems in multi-agent systems. Several current algorithms that solve general DCOP instan...