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GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
14 years 1 months ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
ICTAI
2010
IEEE
13 years 7 months ago
Combining Mixed Integer Programming and Supervised Learning for Fast Re-planning
We introduce a new plan repair method for problems cast as Mixed Integer Programs. In order to tackle the inherent complexity of these NP-hard problems, our approach relies on the ...
Emmanuel Rachelson, Ala Ben Abbes, Sebastien Dieme...
CVPR
2009
IEEE
14 years 8 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
ICCBR
2010
Springer
13 years 7 months ago
Amalgams: A Formal Approach for Combining Multiple Case Solutions
How to reuse or adapt past solutions to new problems is one of the least understood problems in case-based reasoning. In this paper we will focus on the problem of how to combine s...
Santiago Ontañón, Enric Plaza
IJCNN
2008
IEEE
14 years 4 months ago
Fuzzy Adaptive Resonance Theory Combining Overlapped Category in consideration of connections
Abstract— Adaptive Resonance Theory (ART) is an unsupervised neural network. Fuzzy ART (FART) is a variation of ART, allows both binary and continuous input patterns. However, Fu...
Haruka Isawa, Haruna Matsushita, Yoshifumi Nishio