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NIPS
1993
15 years 2 months ago
Structural and Behavioral Evolution of Recurrent Networks
This paper introduces GNARL, an evolutionary program which induces recurrent neural networks that are structurally unconstrained. In contrast to constructive and destructive algor...
Gregory M. Saunders, Peter J. Angeline, Jordan B. ...
CEC
2008
IEEE
15 years 8 months ago
Differential evolution for discrete optimization: An experimental study on Combinatorial Auction problems
: Differential evolutionary (DE) mutates solution vectors by the weighted difference of other vectors using arithmetic operations. As these operations cannot be directly extended t...
Jingqiao Zhang, Viswanath Avasarala, Arthur C. San...
EC
2007
167views ECommerce» more  EC 2007»
15 years 1 months ago
Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime
Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good per...
Sylvain Gelly, Sylvie Ruette, Olivier Teytaud
GECCO
2003
Springer
15 years 6 months ago
Quad Search and Hybrid Genetic Algorithms
A bit climber using a Gray encoding is guaranteed to converge to a global optimum in fewer than ¢¤£¦¥¨§© evaluations on unimodal 1-D functions and on multi-dimensional sph...
L. Darrell Whitley, Deon Garrett, Jean-Paul Watson
115
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CEC
2009
IEEE
15 years 8 months ago
Evolving novel image features using Genetic Programming-based image transforms
— In this paper, we use Genetic Programming (GP) to define a set of transforms on the space of greyscale images. The motivation is to allow an evolutionary algorithm means of tr...
Taras Kowaliw, Wolfgang Banzhaf, Nawwaf N. Kharma,...