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IPPS
2007
IEEE
14 years 4 months ago
Optimizing Sorting with Machine Learning Algorithms
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
Xiaoming Li, María Jesús Garzar&aacu...
HEURISTICS
2010
13 years 4 months ago
An evolutionary and constructive approach to a crew scheduling problem in underground passenger transport
Operation management of underground passenger transport systems is associated with combinatorial optimization problems (known as crew and train scheduling and rostering) which bel...
Rafael Elizondo, Víctor Parada, Lorena Prad...
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 4 months ago
Choice and development
The process of development creates a phenotype from one or more genotypes of an individual through interaction with an environment. The opportunity for development to choose a phe...
Arthur M. Farley
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
14 years 4 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming
CORR
2011
Springer
177views Education» more  CORR 2011»
13 years 4 months ago
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
Feng Niu, Christopher Ré, AnHai Doan, Jude ...