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GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
14 years 5 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller
CP
2005
Springer
14 years 4 months ago
Solving the Car-Sequencing Problem as a Non-binary CSP
A search algorithm based on non-binary forward checking (nFC) is used to solve the car-sequencing problem. The choice of value ordering heuristics having a dramatic effect on solu...
Mihaela Butaru, Zineb Habbas
TNN
2008
108views more  TNN 2008»
13 years 10 months ago
A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints
This paper presents a novel recurrent neural network for solving nonlinear optimization problems with inequality constraints. Under the condition that the Hessian matrix of the ass...
Youshen Xia, Gang Feng, Jun Wang
CCE
2004
13 years 10 months ago
Solving distillation problems by terrain methods
This paper clearly shows that the recently proposed terrain methodology of Lucia and Yang (2003) can be used to solve steady-state distillation problems in a reliable and efficien...
Angelo Lucia, Feng Yang
AAAI
1994
14 years 5 days ago
GENET: A Connectionist Architecture for Solving Constraint Satisfaction Problems by Iterative Improvement
New approaches to solving constraint satisfaction problems using iterative improvement techniques have been found to be successful on certain, very large problems such as the mill...
Andrew J. Davenport, Edward P. K. Tsang, Chang J. ...