This paper proposes an optimization strategy which is based on neural networks and genetic algorithms to calculate the optimal values of gas injection rate and oil rate for oil pro...
Guillermo Jimenez de la Cruz, Jose A. Ruz-Hernande...
The goal of assembly planning consists in generating feasible sequences to assemble a product and selecting an efficient assembly sequence from which related constraint factors su...
This paper presents a generic method for solving Markov random fields (MRF) by formulating the problem of MAP estimation as 0-1 quadratic programming (QP). Though in general solvi...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
A major challenge in efficiently solving distributed resource allocation problems is to cope with the dynamic state changes that characterise such systems. An effective solution t...
Partha Sarathi Dutta, Nicholas R. Jennings, Luc Mo...