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» An evolutionary method for complex-process optimization
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EMO
2005
Springer
68views Optimization» more  EMO 2005»
15 years 6 months ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg
ICCD
1994
IEEE
142views Hardware» more  ICCD 1994»
15 years 4 months ago
Grammar-Based Optimization of Synthesis Scenarios
Systems for multi-level logic optimization are usually based on a set of specialized, loosely-related transformations which work on a network representation. The sequence of trans...
Andreas Kuehlmann, Lukas P. P. P. van Ginneken
106
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GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 4 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
106
Voted
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 4 months ago
Evolving specific network statistical properties using a gene regulatory network model
Abstract. The generation of network topologies with specific, userspecified statistical properties is the aim of this paper. This is achieved through the use of an artifical Gene R...
Miguel Nicolau, Marc Schoenauer
104
Voted
IROS
2007
IEEE
138views Robotics» more  IROS 2007»
15 years 6 months ago
Gramian-based optimal design of a dynamic stroke amplifier compliant micro-mechanism
—This paper presents a new method developed for the optimal design of microrobotic compliant mechanisms. It is based on a flexible building block method, called FlexIn, which use...
Mathieu Grossard, Christine Rotinat-Libersa, Nicol...