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GPEM
2011
13 years 4 months ago
Expert-driven genetic algorithms for simulating evaluation functions
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an appropr...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...

Book
452views
15 years 7 months ago
Practical Artificial Intelligence Programming With Java
This book shows how to implement some AI techniques in java such as Search, Reasoning, Semantic Web, Expert Systems, Genetic Algorithms, Neural Networks, Machine Learning with Weka...
Mark Watson
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
14 years 23 days ago
Single and multi-objective genetic operators in object-oriented conceptual software design
This poster paper investigates the potential of single and multiobjective genetic operators with an object-oriented conceptual design space. Using cohesion as an objective fitness...
Christopher L. Simons, Ian C. Parmee
CPHYSICS
2006
119views more  CPHYSICS 2006»
13 years 9 months ago
GDF: A tool for function estimation through grammatical evolution
This article introduces a tool for data fitting that is based on genetic programming and especially on the grammatical evolution technique. The user needs to input a series of poi...
Ioannis G. Tsoulos, Dimitris Gavrilis, Evangelos D...
CEC
2011
IEEE
12 years 9 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow