We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Decentralized control of a cooperative multi-agent system is the problem faced by multiple decision-makers that share a common set of objectives. The decision-makers may be robots...
This paper describes the optimal tuning for the output limits of the power system stabilizer (PSS), which can improve the system damping performance immediately following a large d...
Seung-Mook Baek, Jung-Wook Park, Ganesh K. Venayag...
We propose an automated routine for hierarchical menu structure optimization. A computer advice-giving system founded on the mathematical model of menu navigation directs the desi...
Abstract-- We consider problems where multiple agents cooperate to control their individual state so as to optimize a common objective while communicating with each other to exchan...