Large scale open multi-agent systems where agents need services of other agents but may not know their contact information require agent location mechanisms. Solutions to this pro...
— Many evolutionary algorithms have been proposed for large scale optimization. Parameter interaction in nonseparable problems is a major source of performance loss specially on ...
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
A scalechart is a set of statecharts, operating in a dense time domain, whose behavior is self-similar at different scales. The simplicity of extracting proofs of behavior from sc...
— In this paper, the performance of a sequential Differential Evolution (DE) enhanced by neighborhood search (SDENS) is reported on the set of benchmark functions provided for th...