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GECCO
2000
Springer
101views Optimization» more  GECCO 2000»
14 years 1 months ago
Characterizing a Tunably Difficult Problem in Genetic Programming
This paper examines the behavioral phenomena that occur with the tuning of the binomial-3 problem. Our analysis identifies a distinct set of phenomena that may be generalizable to...
Omer A. Chaudhri, Jason M. Daida, Jonathan C. Khoo...
GECCO
2000
Springer
113views Optimization» more  GECCO 2000»
14 years 1 months ago
A Non-Linear Schema Theorem for Genetic Algorithms
We generalize Holland's Schema Theorem to the setting that genes are arranged, not necessarily in a linear sequence, but as the nodes in a connected graph. We have experiment...
William A. Greene
GECCO
2004
Springer
14 years 3 months ago
Controlled Content Crossover: A New Crossover Scheme and Its Application to Optical Network Component Allocation Problem
In this paper, a new genetic mating scheme called Controlled Content Crossover (CCC) is proposed and applied to solve the optical network component allocation problem. In order to ...
Mohammad Amin Dallaali, Malin Premaratne
GECCO
2000
Springer
121views Optimization» more  GECCO 2000»
14 years 1 months ago
Metaphor for learning: an evolutionary algorithm
The organizational algorithm is examined as a computational approach to representing interpersonal learning. The structure of the algorithm is introduced and described in context ...
Jody Lee Louse, Alexander Kain, James Hines
GECCO
2005
Springer
169views Optimization» more  GECCO 2005»
14 years 3 months ago
Inexact pattern matching using genetic algorithm
A Genetic Algorithm for graphical pattern matching based on angle matching had been proposed. It has proven quite effective in matching simple patterns. However, the algorithm nee...
Surapong Auwatanamongkol