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» Iterative Methods in Combinatorial Optimization
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GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
15 years 8 months ago
Genetic multi-step search in interpolation and extrapolation domain
The deterministic Multi-step Crossover Fusion (dMSXF) is an improved crossover method of MSXF which is a promising method of JSP, and it shows high availability in TSP. Both of th...
Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki
ICIP
2009
IEEE
14 years 11 months ago
Optimization on active learning strategy for object category retrieval
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
David Gorisse, Matthieu Cord, Frédér...
AAAI
1994
15 years 3 months ago
Case-Based Acquisition of User Preferences for Solution Improvement in Ill-Structured Domains
1 We have developed an approach to acquire complicated user optimization criteria and use them to guide iterative solution improvement. The eectiveness of the approach was tested ...
Katia P. Sycara, Kazuo Miyashita
IPPS
2002
IEEE
15 years 7 months ago
A High Performance Algorithm for Incompressible Flows Using Local Solenoidal Functions
The convergence of iterative methods used to solve the linear systems arising in incompressible flow problems is sensitive to flow parameters such as the Reynolds number, time s...
Sreekanth R. Sambavaram, Vivek Sarin
JCC
2008
166views more  JCC 2008»
15 years 1 months ago
Reference energy extremal optimization: A stochastic search algorithm applied to computational protein design
: We adapt a combinatorial optimization algorithm, extremal optimization (EO), for the search problem in computational protein design. This algorithm takes advantage of the knowled...
Naigong Zhang, Chen Zeng