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CEC
2005
IEEE
13 years 10 months ago
Hybrid evolutionary algorithms for constraint satisfaction problems: memetic overkill?
We study a selected group of hybrid EAs for solving CSPs, consisting of the best performing EAs from the literature. We investigate the contribution of the evolutionary component t...
Bart G. W. Craenen, A. E. Eiben
PATAT
2004
Springer
141views Education» more  PATAT 2004»
13 years 10 months ago
A Hybrid Multi-objective Evolutionary Algorithm for the Uncapacitated Exam Proximity Problem
A hybrid Multi-Objective Evolutionary Algorithm is used to tackle the uncapacitated exam proximity problem. In this hybridization, local search operators are used instead of the tr...
Pascal Côté, Tony Wong, Robert Sabour...
IPPS
2007
IEEE
13 years 11 months ago
A hybrid Evolutionary Algorithm for the Dynamic Resource Constrained Task Scheduling Problem
This work presents a new hybrid Evolutionary Algorithm for the Dynamic Resource Constrained Task Scheduling Problem (DRCTSP). The most important differences between the new EA and...
André Renato Villela da Silva, Luiz Satoru ...
HAIS
2009
Springer
13 years 9 months ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...
CEC
2005
IEEE
13 years 10 months ago
A hybrid model of evolutionary algorithms and branch-and-bound for combinatorial optimization problems
Abstract- Branch-and-Bound and evolutionary algorithms represent two very different approaches for tackling combinatorial optimization problems. These approaches are not incompatib...
José E. Gallardo, Carlos Cotta, Antonio J. ...