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» The Spatially-Dispersed Genetic Algorithm
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EC
2007
145views ECommerce» more  EC 2007»
15 years 6 months ago
Covariant Genetic Dynamics
We present a covariant form for the dynamics of a canonical GA of arbitrary cardinality, showing how each genetic operator can be uniquely represented by a mathematical object - a...
Chryssomalis Chryssomalakos, Christopher R. Stephe...
GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
16 years 5 days ago
Unbiased tournament selection
Tournament selection is a popular form of selection which is commonly used with genetic algorithms, genetic programming and evolutionary programming. However, tournament selection...
Artem Sokolov, Darrell Whitley
PPSN
2004
Springer
15 years 12 months ago
Detecting and Pruning Introns for Faster Decision Tree Evolution
We show how the understandability and speed of genetic programming classification algorithms can be improved, without affecting the classification accuracy. By analyzing the dec...
Jeroen Eggermont, Joost N. Kok, Walter A. Kosters
GECCO
2003
Springer
119views Optimization» more  GECCO 2003»
15 years 12 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
ICMAS
1998
15 years 8 months ago
Determining Successful Negotiation Strategies: An Evolutionary Approach
To be successful in open, multi-agent environments, autonomous agents must be capable of adapting their negotiation strategies and tactics to their prevailing circumstances. To th...
Noyda Matos, Carles Sierra, Nicholas R. Jennings