Dynamic optimization of computer programs can dramatically improve their performance on a variety of applications. This paper presents an efficient infrastructure for dynamic reco...
With the advent of Grid Computing, scheduling strategies for distributed heterogeneous systems have either become irrelevant or have to be extended significantly to support Grid d...
Leakage energy consumption is an increasing concern in current and future CMOS technologygenerations. Procrastination scheduling, where task execution can be delayed to maximize t...
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
Investigating and enhancing the performance of genetic algorithms in dynamic environments have attracted a growing interest from the community of genetic algorithms in recent year...