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AIEDAM
2000
134views more  AIEDAM 2000»
13 years 9 months ago
Adaptive enlargement of state spaces in evolutionary designing
In designing a state space of possible designs is implied by the representation used and the computational processes that operate on that representation. GAs are a means of effect...
John S. Gero, Vladimir A. Kazakov
CEC
2009
IEEE
14 years 4 months ago
An orthogonal multi-objective evolutionary algorithm with lower-dimensional crossover
Abstract— This paper proposes an multi-objective evolutionary algorithm. The algorithm is based on OMOEA-II[2]. A new linear breeding operator with lower-dimensional crossover an...
Song Gao, Sanyou Y. Zeng, Bo Xiao, Lei Zhang, Yulo...
EUROGP
2001
Springer
14 years 2 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
ALIFE
1998
13 years 9 months ago
Self-Adaptation in Evolving Systems
A theoretical and experimental analysis is made of the effects of self-adaptation in a simple evolving system. Specifically, we consider the effects of coding the mutation and ...
Christopher R. Stephens, I. Garcia Olmedo, J. Mora...
GECCO
2008
Springer
126views Optimization» more  GECCO 2008»
13 years 11 months ago
The impact of population size on code growth in GP: analysis and empirical validation
The crossover bias theory for bloat [18] is a recent result which predicts that bloat is caused by the sampling of short, unfit programs. This theory is clear and simple, but it ...
Riccardo Poli, Nicholas Freitag McPhee, Leonardo V...