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ICANNGA
2007
Springer
134views Algorithms» more  ICANNGA 2007»
15 years 8 months ago
Optical Design with Epsilon-Dominated Multi-objective Evolutionary Algorithm
Significant improvement over a patented lens design is achieved using multi-objective evolutionary optimization. A comparison of the results obtained from NSGA2 and ε-MOEA is done...
Shaine Joseph, Hyung W. Kang, Uday K. Chakraborty
EUROPAR
2008
Springer
15 years 8 months ago
Mapping Heterogeneous Distributed Applications on Clusters
Performance of distributed applications largely depends on the mapping of their components on the underlying architecture. On one mponent-based approaches provide an abstraction su...
Sylvain Jubertie, Emmanuel Melin, Jér&eacut...
DAGSTUHL
2006
15 years 8 months ago
Coxeter Lattice Paths
Supercomputing applications usually involve the repeated parallel application of discretized differential operators. Difficulties arise with higher-order discretizations their com...
Thomas J. Ashby, Anthony D. Kennedy, Stephen M. Wa...
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 8 months ago
Aiming for a theoretically tractable CSA variant by means of empirical investigations
Evolution Strategies (ES) for black-box optimization of a function f : Rn → R are investigated. Namely, we consider the cumulative step-size adaptation (CSA) for the variance of...
Jens Jägersküpper, Mike Preuss
190
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GECCO
2008
Springer
170views Optimization» more  GECCO 2008»
15 years 8 months ago
Evolving prediction weights using evolution strategy
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
Trung Hau Tran, Cédric Sanza, Yves Duthen