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157
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EOR
2007
101views more  EOR 2007»
15 years 3 months ago
Searching for multiobjective preventive maintenance schedules: Combining preferences with evolutionary algorithms
Heavy industry maintenance facilities at aircraft service centers or railroad yards must contend with scheduling preventive maintenance tasks to ensure critical equipment remains ...
Gang Quan, Garrison W. Greenwood, Donglin Liu, Xia...
131
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GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 4 months ago
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
Luis Martí, Jesús García, Ant...
139
Voted
ICCV
2009
IEEE
16 years 8 months ago
Subspace matching: Unique solutions to point matching with geometric constraints
Finding correspondences between feature points is one of the most relevant problems in the whole set of visual tasks. In this paper we address the problem of matching a feature ...
Manuel Marques, Marko Stosic and Joao Costeira
177
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TFS
2008
157views more  TFS 2008»
15 years 3 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
95
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GECCO
2004
Springer
15 years 9 months ago
Dynamic Uniform Scaling for Multiobjective Genetic Algorithms
Before Multiobjective EvolutionaryAlgorithms (MOEAs) can be used as a widespread tool for solving arbitrary real world problems there are some salient issues which require further ...
Gerulf K. M. Pedersen, David E. Goldberg