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» Dynamic populations in genetic algorithms
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78
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GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
15 years 1 months ago
Optinformatics for schema analysis of binary genetic algorithms
Given the importance of optimization and informatics which are the two broad fields of research, we present an instance of Optinformatics which denotes the specialization of info...
Minh Nghia Le, Yew-Soon Ong, Quang Huy Nguyen 0001
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 6 months ago
Discussion of parallel model of multi-objective genetic algorithms on heterogeneous computational resources
— In this paper, a parallel model of multi-objective genetic algorithm supposing a grid environment is discussed. In this proposed parallel model, we extended master-slave model ...
Tomoyuki Hiroyasu, Kengo Yoshii, Mitsunori Miki
GECCO
2007
Springer
171views Optimization» more  GECCO 2007»
15 years 6 months ago
Toward a better understanding of rule initialisation and deletion
A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and ...
Tim Kovacs, Larry Bull
105
Voted
EC
2007
145views ECommerce» more  EC 2007»
15 years 16 days 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...
EUROGP
2010
Springer
172views Optimization» more  EUROGP 2010»
15 years 3 months ago
Geometric Differential Evolution on the Space of Genetic Programs
Abstract. Geometric Differential Evolution (GDE) is a very recently introduced formal generalization of traditional Differential Evolution (DE) that can be used to derive specific ...
Alberto Moraglio, Sara Silva