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» Incremental evolution strategy for function optimization
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GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 5 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
90
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CEC
2009
IEEE
15 years 7 months ago
Multi-start JADE with knowledge transfer for numerical optimization
— JADE is a recent variant of Differential Evolution (DE) for numerical optimization, which has been reported to obtain some promising results in experimental study. However, we ...
Fei Peng, Ke Tang, Guoliang Chen, Xin Yao
109
Voted
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 6 months ago
The second harmonic generation case-study as a gateway for es to quantum control problems
The Second Harmonic Generation (SHG), a process that turns out to be a good test case in the physics lab, can also be considered as a fairly simple theoretical test function for g...
Ofer M. Shir, Thomas Bäck
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 6 months ago
Action-selection and crossover strategies for self-modeling machines
In previous work [7] a computational framework was demonstrated that employs evolutionary algorithms to automatically model a given system. This is accomplished by alternating the...
Josh C. Bongard
112
Voted
CEC
2008
IEEE
15 years 1 months ago
A technique for the visualization of population-based algorithms
— A technique for the visualization of stochastic population–based algorithms in multidimensional problems with known global minimizers is proposed. The technique employs proje...
Konstantinos E. Parsopoulos, Voula C. Georgopoulos...