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» Multicriteria Network Design Using Evolutionary Algorithm
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143
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CEC
2009
IEEE
15 years 9 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
119
Voted
EMO
2006
Springer
117views Optimization» more  EMO 2006»
15 years 4 months ago
Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm
Abstract. Multiplex Polymerase Chain Reaction (PCR) assay is to amplify multiple target DNAs simultaneously using different primer pairs for each target DNA. Recently, it is widely...
In-Hee Lee, Soo-Yong Shin, Byoung-Tak Zhang
139
Voted
GECCO
2006
Springer
207views Optimization» more  GECCO 2006»
15 years 5 months ago
Both robust computation and mutation operation in dynamic evolutionary algorithm are based on orthogonal design
A robust dynamic evolutionary algorithm (labeled RODEA), where both the robust calculation and mutation operator are based on an orthogonal design, is proposed in this paper. Prev...
Sanyou Y. Zeng, Rui Wang, Hui Shi, Guang Chen, Hug...
139
Voted
PPSN
2004
Springer
15 years 7 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
EMO
2001
Springer
152views Optimization» more  EMO 2001»
15 years 6 months ago
Multi-objective Design Space Exploration of Road Trains with Evolutionary Algorithms
This paper examines the road train concept as a new alternative in long-distance freight traffic. The design of such a system is a difficult task since many different and conflicti...
Nando Laumanns, Marco Laumanns, Dirk Neunzig