This paper presents a detailed account of a novel scheme for finding profit optimal BFWA networks, extending an existing network optimisation tool, and using the principles of eme...
Archie A. Wade, Steve Hurley, Stuart M. Allen, Ric...
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...
This paper studies the issue of space coordinate change in genetic algorithms, based on two methods: convex quadratic approximations, and principal component analysis. In both met...
Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H...
This paper describes a speciation method that allows an evolutionary process to learn several robot behaviors using a single execution. Species are created in behavioral space in ...
— Path planning and network design are often treated by architects of mobile communication networks as separate problems. In fact, most mobile ad hoc network (MANET) designs do n...
Alex Fridman, Steven Weber, Charles Graff, Moshe K...