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GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
14 years 23 days ago
Integrated Genetic Algorithm with Hill Climbing for Bandwidth Minimization Problem
In this paper, we propose an integrated Genetic Algorithm with Hill Climbing to solve the matrix bandwidth minimization problem, which is to reduce bandwidth by permuting rows and ...
Andrew Lim, Brian Rodrigues, Fei Xiao
ICANN
2007
Springer
13 years 9 months ago
Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN)
A multilayer neural network based on multi-valued neurons (MLMVN) is a new powerful tool for solving classification, recognition and prediction problems. This network has a number ...
Igor N. Aizenberg, Jacek M. Zurada
IPCO
2008
221views Optimization» more  IPCO 2008»
13 years 9 months ago
A Comparative Study of Linear and Semidefinite Branch-and-Cut Methods for Solving the Minimum Graph Bisection Problem
Abstract. Semidefinite relaxations are known to deliver good approximations for combinatorial optimization problems like graph bisection. Using the spectral bundle method it is pos...
Michael Armbruster, Marzena Fügenschuh, Chris...
ICCSA
2003
Springer
14 years 23 days ago
A Fast Algorithm for Moving Interface Problems
Numerical simulations of a spherical shock refraction have been successfully conducted by a front tracking method. We demonstrate the e ciency of the front tracking algorithm by co...
Srabasti Dutta, James Glimm, John W. Grove, David ...
CEC
2008
IEEE
13 years 9 months ago
Investigation of simply coded evolutionary artificial neural networks on robot control problems
One of the advantages of evolutionary robotics over other approaches in embodied cognitive science would be its parallel population search. Due to the population search, it takes a...
Yoshiaki Katada, Jun Nakazawa