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GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
14 years 28 days ago
EA models and population fixed-points versus mutation rates for functions of unitation
Using a dynamic systems model for the Simple Genetic Algorithm due to Vose[1], we analyze the fixed point behavior of the model without crossover applied to functions of unitation...
J. Neal Richter, John Paxton, Alden H. Wright
GECCO
2007
Springer
283views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolving Lucene search queries for text classification
We describe a method for generating accurate, compact, human understandable text classifiers. Text datasets are indexed using Apache Lucene and Genetic Programs are used to constr...
Laurence Hirsch, Robin Hirsch, Masoud Saeedi
SIGGRAPH
1994
ACM
13 years 11 months ago
Evolving virtual creatures
This paper describes a novel system for creating virtual creatures that move and behave in simulated three-dimensional physical worlds. The morphologies of creatures and the neura...
Karl Sims
EC
2000
96views ECommerce» more  EC 2000»
13 years 7 months ago
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
David A. van Veldhuizen, Gary B. Lamont
FECS
2006
159views Education» more  FECS 2006»
13 years 8 months ago
Evolving Mathematical Functions with Genetic Algorithms - A Team Project on Artificial Intelligence
- In contrast to most of the senior level Artificial Intelligence (AI) courses where AI is taught in the jargon of theoretical computer science with crowd of complex matrix algebra...
Zhiguang Xu, Chris Neasbitt, Jared Summers, Bill C...