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» A Non-Linear Schema Theorem for Genetic Algorithms
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GECCO
2000
Springer
113views Optimization» more  GECCO 2000»
13 years 8 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
2003
Springer
119views Optimization» more  GECCO 2003»
13 years 10 months ago
Schema Analysis of Average Fitness in Multiplicative Landscape
By applying the schema theorem, we study the effects of crossover in Genetic Algorithms with the multiplicative fitness function. On this landscape, the analytical expression of ...
Hiroshi Furutani
EC
1998
134views ECommerce» more  EC 1998»
13 years 4 months ago
Schema Theory for Genetic Programming with One-Point Crossover and Point Mutation
In this paper we first review the main results obtained in the theory of schemata in Genetic Programming (GP) emphasising their strengths and weaknesses. Then we propose a new, s...
Riccardo Poli, William B. Langdon
FOGA
1994
13 years 6 months ago
The Schema Theorem and Price's Theorem
Holland's Schema Theorem is widely taken to be the foundation for explanations of the power of genetic algorithms (GAs). Yet some dissent has been expressed as to its implica...
Lee Altenberg
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
13 years 11 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen