Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...
Central to many problems in scene understanding based on using a network of tens, hundreds or even thousands of randomly distributed cameras with on-board processing and wireless c...
Shubao Liu, Kongbin Kang, Jean-Philippe Tarel and ...
This paper defines and describes a fully distributed implementation of Google’s highly effective Pagerank algorithm, for “peer to peer”(P2P) systems. The implementation is ...
A new method for updating certificate revocation trees (CRT) is proposed. Efficient revocation of publickey certificates is a current issue in public-key Infrastructure because a ...
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...