In many market settings, agents do not know their preferences a priori. Instead, they may have to solve computationally complex optimization problems, query databases, or perform ...
In recent literature, the niche enabling effects of crowding and the sharing algorithms have been systematically investigated in the context of Genetic Algorithms and are now estab...
Abstract. This paper describes the implementation of a decentralized architecture for autonomous teams of aerial and ground vehicles engaged in active perception. We provide a theo...
Ben Grocholsky, Selcuk Bayraktar, Vijay Kumar, Cam...
Multi-objective optimization methods are essential to resolve real-world problems as most involve several types of objects. Several multi-objective genetic algorithms have been pro...
Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shiny...
We present the NanoPeers architecture paradigm, a peer-to-peer network of lightweight devices, lacking all or most of the capabilities of their computer-world counterparts. We ide...
Peter Triantafillou, Nikos Ntarmos, Sotiris E. Nik...