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GECCO
2006
Springer
237views Optimization» more  GECCO 2006»
13 years 11 months ago
Genetic algorithms to optimise the time to make stock market investment
The application of Artificial Intelligence described in this article is intended to resolve the issue of speculation on the stock market. Genetic Algorithms is the technique that ...
David de la Fuente, Alejandro Garrido, Jaime Lavia...
GECCO
2003
Springer
129views Optimization» more  GECCO 2003»
14 years 17 days ago
An Optimization Solution for Packet Scheduling: A Pipeline-Based Genetic Algorithm Accelerator
Abstract. The dense wavelength division multiplexing (DWDM) technique has been developed to provide a tremendous number of wavelengths/channels in an optical fiber. In the multi-c...
Shiann-Tsong Sheu, Yue-Ru Chuang, Yu-Hung Chen, Eu...
TEC
2008
97views more  TEC 2008»
13 years 7 months ago
Ergonomic Chair Design by Fusing Qualitative and Quantitative Criteria Using Interactive Genetic Algorithms
This paper emphasizes the necessity of formally bringing qualitative and quantitative criteria of ergonomic design together, and provides a novel complementary design framework wit...
Alexandra Melike Brintrup, Jeremy Ramsden, Hideyuk...
GECCO
2007
Springer
437views Optimization» more  GECCO 2007»
14 years 1 months ago
A gestalt genetic algorithm: less details for better search
The basic idea to defend in this paper is that an adequate perception of the search space, sacrificing most of the precision, can paradoxically accelerate the discovery of the mo...
Christophe Philemotte, Hugues Bersini
GECCO
2004
Springer
14 years 22 days ago
The Lens Design Using the CMA-ES Algorithm
This paper presents a lens system design algorithm using the covariance matrix adaptation evolution strategy (CMA-ES), which is one of the most powerful self-adaptation mechanisms....
Yuichi Nagata