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136
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EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
15 years 7 months ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean
127
Voted
ACMSE
2008
ACM
15 years 5 months ago
Training approaches in neural enhancement for multiobjective optimization
In previous work, a neural network was used to increase the number of solutions found by an evolutionary multiobjective optimization algorithm. In this paper, various approaches a...
Aaron Garrett, Gerry V. Dozier
125
Voted
CEC
2010
IEEE
15 years 4 months ago
Optimization of biogas production with computational intelligence a comparative study
Biogas plants are reliable sources of energy based on renewable materials including organic waste. There is a high demand from industry to run these plants efficiently, which lead...
Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oli...
150
Voted
ICAC
2009
IEEE
15 years 1 months ago
Using distributed w-learning for multi-policy optimization in decentralized autonomic systems
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
Ivana Dusparic, Vinny Cahill
157
Voted
CEC
2011
IEEE
14 years 3 months ago
Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems
—Over the last two decades, many Differential Evolution (DE) strategies have been introduced for solving Optimization Problems. Due to the variability of the characteristics in o...
Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam