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» A parameter-less genetic algorithm
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130
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GECCO
2000
Springer
138views Optimization» more  GECCO 2000»
15 years 7 months ago
Time Complexity of genetic algorithms on exponentially scaled problems
This paper gives a theoretical and empirical analysis of the time complexity of genetic algorithms (GAs) on problems with exponentially scaled building blocks. It is important to ...
Fernando G. Lobo, David E. Goldberg, Martin Pelika...
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 7 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
150
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GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 5 months ago
Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
Emre H. Brookes, Borries Demeler
150
Voted
HIS
2008
15 years 5 months ago
Using Genetic Algorithm for Hybrid Modes of Collaborative Filtering in Online Recommenders
Online recommenders are usually referred to those used in e-Commerce websites for suggesting a product or service out of many choices. The core technology implemented behind this ...
Simon Fong, Yvonne Ho, Yang Hang
130
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DMIN
2006
132views Data Mining» more  DMIN 2006»
15 years 5 months 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