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EMO
2005
Springer
194views Optimization» more  EMO 2005»
13 years 10 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks
GECCO
2010
Springer
254views Optimization» more  GECCO 2010»
13 years 10 months ago
Evolutionary multi-objective optimization and decision making for selective laser sintering
This paper proposes an integrated approach to arrive at optimal build orientations, simultaneously minimizing surface roughness ‘Ra’ and build time ‘T’, for object manufac...
Nikhil Padhye, Kalyanmoy Deb
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
13 years 10 months ago
Fitness-based neighbor selection for multimodal function optimization
We propose a selection scheme called Fitness-based Neighbor Selection (FNS) for multimodal optimization. The FNS is aimed for ill-scaled and locally multimodal domain, both found ...
Shin Ando, Shigenobu Kobayashi
DGCI
2008
Springer
13 years 6 months ago
Optimal Difference Operator Selection
Abstract. Differential operators are essential in many image processing applications. Previous work has shown how to compute derivatives more accurately by examining the image loca...
Peter Veelaert, Kristof Teelen
IPPS
1997
IEEE
13 years 8 months ago
Designing Efficient Distributed Algorithms Using Sampling Techniques
In this paper we show the power of sampling techniques in designing efficient distributed algorithms. In particular, we show that using sampling techniques, on some networks, sele...
Sanguthevar Rajasekaran, David S. L. Wei