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» Morphing methods in evolutionary design optimization
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EVOW
2007
Springer
15 years 6 months ago
A Hybrid Method for Solving Large-Scale Supply Chain Problems
Abstract. The strategic supply chain design problem which allows capacity shifts and budget limitations can be formulated as a linear program. Since facilities are allowed to be op...
Steffen Wolf, Peter Merz
114
Voted
CASES
2006
ACM
15 years 6 months ago
Methods for power optimization in distributed embedded systems with real-time requirements
Dynamic voltage scaling and sleep state control have been shown to be extremely effective in reducing energy consumption in CMOS circuits. Though plenty of research papers have st...
Razvan Racu, Arne Hamann, Rolf Ernst, Bren Mochock...
109
Voted
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
15 years 1 months ago
Unsupervised learning of echo state networks: balancing the double pole
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
Fei Jiang, Hugues Berry, Marc Schoenauer
115
Voted
CEC
2009
IEEE
15 years 7 months ago
Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems
— In this paper, the performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on a set of bound-constrained synthetic test problems is reported. The hybr...
Santosh Tiwari, Georges Fadel, Patrick Koch, Kalya...
95
Voted
GECCO
2009
Springer
157views Optimization» more  GECCO 2009»
15 years 7 months ago
Multi material topological optimization of structures and mechanisms
Multi-material 3D-printing technologies permit the freeform fabrication of complex spatial arrangements of materials in arbitrary geometries. This technology has opened the door t...
Jonathan D. Hiller, Hod Lipson