The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
This paper presents a lens system design algorithm using the covariance matrix adaptation evolution strategy (CMA-ES), which is one of the most powerful self-adaptation mechanisms....
Abstract—Online optimization allows the continuous restructuring and adaptation of an executing application using live information about its execution environment. The further ad...
The aggregation of conflicting preferences is a central problem in multiagent systems. The key difficulty is that the agents may report their preferences insincerely. Mechanism ...
System-level design techniques promise a way to lessen the productivity gap between fabrication and design. Unfortunately, these techniques have been slow to catch on, in part bec...