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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 5 months ago
An analysis of the effects of population structure on scalable multiobjective optimization problems
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Michael Kirley, Robert L. Stewart
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
15 years 5 months ago
ACO vs EAs for solving a real-world frequency assignment problem in GSM networks
Frequency planning is a very important task for current GSM operators. In this work we present a new mathematical formulation of the problem in which the frequency plans are evalu...
Francisco Luna, Christian Blum, Enrique Alba, Anto...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 20 days ago
A parallel evolutionary algorithm for unconstrained binary quadratic problems
In this paper an island model is described for the unconstrained Binary Quadratic Problem (BQP), which can be used with up to 2500 binary variables. Our island model uses a master...
István Borgulya
EMMCVPR
2001
Springer
15 years 4 months ago
Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems
The interest of graph matching techniques in the pattern recognition field is increasing due to the versatility of representing knowledge in the form of graphs. However, the size ...
Endika Bengoetxea, Pedro Larrañaga, Isabell...
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
15 years 5 months ago
Evolutionary optimization of dynamic control problems accelerated by progressive step reduction
In this paper, we describe the use of an evolutionary algorithm (EA) to solve dynamic control optimization problems in engineering. In this class of problems, a set of control var...
Q. Tuan Pham