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GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
15 years 3 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
14 years 9 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
15 years 10 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
14 years 9 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
15 years 6 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