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» Methods for Evolving Robust Programs
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CEC
2003
IEEE
14 years 2 months ago
Real-time adaptation technique to real robots: an experiment with a humanoid robot
We introduce a technique that allows a real robot to execute real-time learning, in which GP and RL are integrated. In our former research, we showed the result of an experiment wi...
Shotaro Kamio, Hitoshi Iba
BMCBI
2008
173views more  BMCBI 2008»
13 years 9 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
ASE
2004
137views more  ASE 2004»
13 years 9 months ago
Automatically Restructuring Programs for the Web
The construction of interactive server-side Web applications differs substantially from the construction of traditional interactive programs. In contrast, existing Web programming...
Jacob Matthews, Robert Bruce Findler, Paul T. Grau...
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
14 years 23 days ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
James Alfred Walker, Julian Francis Miller, Rachel...
GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
13 years 10 months ago
Automated shape composition based on cell biology and distributed genetic programming
Motivated by the ability of living cells to form specific shapes and structures, we present a computational approach using distributed genetic programming to discover cell-cell i...
Linge Bai, Manolya Eyiyurekli, David E. Breen