TY - JOUR
KW - Energy
KW - Programming
KW - Neural Network
KW - Hopfield
AU - Mohamed Ettaouil
AU - Khalid Haddouch
AU - Karim Elmoutaoukil
AB - A wide variety of real world optimization problems can be modelled as Weighted Constraint Satisfaction Problems (WCSPs). In this paper, we model this problem in terms of in original 0-1 quadratic programming subject to leaner constraints. View it performance, we use the continuous Hopfield network to solve the obtained model basing on original energy function. To validate our model, we solve several instance of benchmarking WCSP. In this regard, our approach recognizes the optimal solution of the said instances.
IS - Special Issue on Artificial Intelligence Underpinning
M1 - 1
N2 - A wide variety of real world optimization problems can be modelled as Weighted Constraint Satisfaction Problems (WCSPs). In this paper, we model this problem in terms of in original 0-1 quadratic programming subject to leaner constraints. View it performance, we use the continuous Hopfield network to solve the obtained model basing on original energy function. To validate our model, we solve several instance of benchmarking WCSP. In this regard, our approach recognizes the optimal solution of the said instances.
PY - 2016
SP - 56
EP - 60
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Solving the Weighted Constraint Satisfaction Problems Via the Neural Network Approach
UR - http://www.ijimai.org/JOURNAL/sites/default/files/files/2016/02/ijimai20164_1_11_pdf_42425.pdf
VL - 4
SN - 1989-1660
ER -