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GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 8 months ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...
120
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CEC
2010
IEEE
15 years 3 months ago
On the role of modularity in evolutionary dynamic optimisation
The field of evolutionary dynamic optimisation is concerned with the application of evolutionary algorithms to dynamic optimisation problems. In recent years, numerous new algorith...
Philipp Rohlfshagen, Xin Yao
150
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ICTAI
2007
IEEE
15 years 9 months ago
Ant Colony Optimization for Multi-Objective Optimization Problems
We propose in this paper a generic algorithm based on Ant Colony Optimization to solve multi-objective optimization problems. The proposed algorithm is parameterized by the number...
Inès Alaya, Christine Solnon, Khaled Gh&eac...
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 7 months ago
On the generality of parameter tuning in evolutionary planning
Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has se...
Jacques Bibai, Pierre Savéant, Marc Schoena...
143
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EMO
2006
Springer
219views Optimization» more  EMO 2006»
15 years 6 months ago
ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization
Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...
Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourd...