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142
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GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
15 years 10 months ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu
UPP
2004
Springer
15 years 10 months ago
Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
Thomas Bäck, Ron Breukelaar, Lars Willmes
128
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STOC
1996
ACM
92views Algorithms» more  STOC 1996»
15 years 9 months ago
Constructing Evolutionary Trees in the Presence of Polymorphic Characters
Abstract. Most phylogenetics literature and construction methods based upon characters presume monomorphism (one state per character per species), yet polymorphism (multiple states...
Maria Luisa Bonet, Cynthia A. Phillips, Tandy Warn...
149
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GECCO
2000
Springer
170views Optimization» more  GECCO 2000»
15 years 8 months ago
A Comparison of Genetic Algorithms for the Dynamic Job Shop Scheduling Problem
The majority of the research using evolutionary algorithms for the Job Shop Scheduling Problem (JSSP) has studied only the static JSSP. Few evolutionary algorithms have been appli...
Manuel Vázquez, L. Darrell Whitley
HIS
2008
15 years 6 months ago
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Salvador García, Francisco Herrera