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ICANNGA
2009
Springer
163views Algorithms» more  ICANNGA 2009»
15 years 1 months ago
Elitistic Evolution: An Efficient Heuristic for Global Optimization
A new evolutionary algorithm, Elitistic Evolution (termed EEv), is proposed in this paper. EEv is an evolutionary method for numerical optimization with adaptive behavior. EEv uses...
Francisco Viveros Jiménez, Efrén Mez...
AHS
2007
IEEE
210views Hardware» more  AHS 2007»
15 years 3 months ago
MOVES: A Modular Framework for Hardware Evolution
In this paper, we present a framework that supports experimenting with evolutionary hardware design. We describe the framework’s modules for composing evolutionary optimizers an...
Paul Kaufmann, Marco Platzner
NC
2002
210views Neural Networks» more  NC 2002»
14 years 9 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis
SEMCCO
2010
14 years 7 months ago
Differential Evolution Algorithm with Ensemble of Parameters and Mutation and Crossover Strategies
Differential Evolution (DE) has attracted much attention recently as an effective approach for solving numerical optimization problems. However, the performance of DE is sensitive ...
Rammohan Mallipeddi, Ponnuthurai Nagaratnam Sugant...
GECCO
2009
Springer
193views Optimization» more  GECCO 2009»
15 years 2 months ago
Optimization of dynamic memory managers for embedded systems using grammatical evolution
New portable consumer embedded devices must execute multimedia applications (e.g., 3D games, video players and signal processing software, etc.) that demand extensive memory acces...
José L. Risco-Martín, David Atienza,...