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CEC
2009
IEEE
15 years 4 months ago
Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems
Abstract— Evolutionary multi-objective optimization algorithms are commonly used to obtain a set of non-dominated solutions for over a decade. Recently, a lot of emphasis have be...
Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb, Kaisa...
EVOW
2008
Springer
14 years 11 months ago
A Conflict Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems
This paper introduces a hybrid Tabu Search - Evolutionary Algorithm for solving the binary constraint satisfaction problem, called CTLEA. A continuation of an earlier introduced al...
Bart G. W. Craenen, Ben Paechter
HM
2007
Springer
114views Optimization» more  HM 2007»
15 years 1 months ago
Hybrid Numerical Optimization for Combinatorial Network Problems
Abstract. We discuss a general approach to hybridize traditional construction heuristics for combinatorial optimization problems with numerical based evolutionary algorithms. There...
Markus Chimani, Maria Kandyba, Mike Preuss
BMCBI
2005
119views more  BMCBI 2005»
14 years 9 months ago
The distance-profile representation and its application to detection of distantly related protein families
Background: Detecting homology between remotely related protein families is an important problem in computational biology since the biological properties of uncharacterized protei...
Chin-Jen Ku, Golan Yona
TNN
2010
171views Management» more  TNN 2010»
14 years 4 months ago
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...
Juan Carlos Fernández Caballero, Francisco ...