Developing applications for sensor networks is a challenging task. Most programming systems narrowly focus on programming issues while ignoring that programming represents only a ...
This paper reports the application of evolutionary computation in the automatic generation of a neural network architecture.It is a usual practice to use trial and error to find a...
E. Vonk, Lakhmi C. Jain, L. P. J. Veelenturf, R. J...
In this paper, we present TOTA (“Tuples On The Air”), a novel middleware to coordinate the movements of a large number of autonomous components (i.e. agents) in a ubiquitous co...
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Today's wireless sensor networks have limited flexibility because their software is static. Mobile agents alleviate this problem by introducing mobile code and state. Mobile ...
Daniel Massaguer, Chien-Liang Fok, Nalini Venkatas...