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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
16 years 1 months ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
16 years 4 days ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...
INFOCOM
1997
IEEE
15 years 11 months ago
An Algorithm to Compute Collusion Paths
In earlier work we have formulated a collusion problem that determines whether it is possible for a set of colluders to collectively discover a target set of information, starting...
Steven H. Low, Nicholas F. Maxemchuk
FMOODS
2007
15 years 9 months ago
Formal Modeling and Analysis of the OGDC Wireless Sensor Network Algorithm in Real-Time Maude
This paper describes the application of Real-Time Maude to the formal specification, simulation, and further formal analysis of the sophisticated state-of-the-art OGDC wireless se...
Peter Csaba Ölveczky, Stian Thorvaldsen
IJCAI
1989
15 years 8 months ago
Training Feedforward Neural Networks Using Genetic Algorithms
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
David J. Montana, Lawrence Davis