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» An Indirect Genetic Algorithm for Set Covering Problems
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IJCAI
1989
15 years 1 days 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
82
Voted
DMIN
2006
132views Data Mining» more  DMIN 2006»
15 years 8 days ago
Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
Janaki Gopalan, Reda Alhajj, Ken Barker
CEC
2007
IEEE
15 years 5 months ago
A cost benefit operator for efficient multi level genetic algorithm searches
— In this paper we present a novel cost benefit operator that assists multi level genetic algorithm searches. Through the use of the cost benefit operator, it is possible to dyna...
George G. Mitchell, Barry McMullin, James Decraene
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
15 years 4 months ago
Terrain generation using genetic algorithms
We propose a method for applying genetic algorithms to create 3D terrain data sets. Existing procedural algorithms for generation of terrain have several shortcomings. The most po...
TeongJoo Ong, Ryan Saunders, John Keyser, John J. ...
ACIIDS
2009
IEEE
105views Database» more  ACIIDS 2009»
14 years 8 months ago
Stability Analysis of Fuzzy Control for Nonlinear Systems
In this study, we propose a method of stability analysis for a GA-Based reference ANNC capable of handling these types of problems for a nonlinear system. The initial values of the...
Po-Chen Chen, Ken Yeh, Cheng-Wu Chen, Shu-Hao Lin