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EC
1998
134views ECommerce» more  EC 1998»
9 years 1 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
9 years 3 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
FOGA
1998
9 years 3 months ago
Schemata as Building Blocks: Does Size Matter?
We analyze the schema theorem and the building block hypothesis using a recently derived, exact schemata evolution equation. We derive a new schema theorem based on the concept of...
Christopher R. Stephens, Henri Waelbroeck, R. Agui...
EUROGP
2001
Springer
9 years 6 months ago
Exact Schema Theorems for GP with One-Point and Standard Crossover Operating on Linear Structures and Their Application to the S
In this paper, firstly we specialise the exact GP schema theorem for one-point crossover to the case of linear structures of variable length, for example binary strings or program...
Riccardo Poli, Nicholas Freitag McPhee
EUROGP
2001
Springer
110views Optimization» more  EUROGP 2001»
9 years 6 months ago
General Schema Theory for Genetic Programming with Subtree-Swapping Crossover
Abstract. In this paper a new, general and exact schema theory for genetic programming is presented. The theory includes a microscopic schema theorem applicable to crossover operat...
Riccardo Poli
GECCO
2003
Springer
119views Optimization» more  GECCO 2003»
9 years 7 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
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
9 years 8 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
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