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» Experimental research in evolutionary computation
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CEC
2009
IEEE
15 years 11 months ago
Memetic algorithm with Local search chaining for large scale continuous optimization problems
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
Daniel Molina, Manuel Lozano, Francisco Herrera
EVOW
2006
Springer
15 years 10 months ago
A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
Matthieu Basseur, Eckart Zitzler
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 10 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
BMCBI
2010
176views more  BMCBI 2010»
15 years 6 months ago
Reverse engineering gene regulatory network from microarray data using linear time-variant model
nd: Gene regulatory network is an abstract mapping of gene regulations in living cells that can help to predict the system behavior of living organisms. Such prediction capability...
Mitra Kabir, Nasimul Noman, Hitoshi Iba
BMCBI
2007
120views more  BMCBI 2007»
15 years 6 months ago
Phylo-mLogo: an interactive and hierarchical multiple-logo visualization tool for alignment of many sequences
Background: When aligning several hundreds or thousands of sequences, such as epidemic virus sequences or homologous/orthologous sequences of some big gene families, to reconstruc...
Arthur Chun-Chieh Shih, D. T. Lee, Chin-Lin Peng, ...