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» Convergence Models of Genetic Algorithm Selection Schemes
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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
13 years 5 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
GECCO
2004
Springer
128views Optimization» more  GECCO 2004»
14 years 28 days ago
An Informed Operator Based Genetic Algorithm for Tuning the Reaction Rate Parameters of Chemical Kinetics Mechanisms
A reduced model technique based on a reduced number of numerical simulations at a subset of operating conditions for a perfectly stirred reactor is developed in order to increase t...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
14 years 1 months ago
Choreogenetics: the generation of choreographic variants through genetic mutations and selection
In this paper, a genetic algorithm is introduced to generate variants of a choreographic sequence, which are then selected using different criteria. The mutation phase of the algo...
François-Joseph Lapointe
COCOON
2007
Springer
14 years 1 months ago
Approximation Algorithms for Reconstructing the Duplication History of Tandem Repeats
Tandem repeated regions are closely related to some genetic diseases in human beings. Once a region containing pseudo-periodic repeats is found, it is interesting to study the his...
Lusheng Wang, Zhanyong Wang, Zhi-Zhong Chen
ISDA
2009
IEEE
14 years 2 months ago
Valley-Adaptive Clearing Scheme for Multimodal Optimization Evolutionary Search
Recent studies [13, 18] have shown that clearing schemes are efficient multi-modal optimization methods. They efficiently reduce genetic drift which is the direct reason for prema...
Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong