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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
13 years 11 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
13 years 11 months ago
Autonomous evolutionary music composer
A second-generation autonomous music composition tool is developed using Genetic Algorithms. The composition is conducted in two Stages. The first Stage generates and identifies m...
Yaser M. A. Khalifa, Mohamed Basel Al-Mourad
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
13 years 11 months ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
AAAI
2007
13 years 9 months ago
Biomind ArrayGenius and GeneGenius: Web Services Offering Microarray and SNP Data Analysis via Novel Machine Learning Methods
Analysis of postgenomic biological data (such as microarray and SNP data) is a subtle art and science, and the statistical methods most commonly utilized sometimes prove inadequat...
Ben Goertzel, Cassio Pennachin, Lúcio de So...
AMAST
2008
Springer
13 years 9 months ago
Towards an Efficient Implementation of Tree Automata Completion
Term Rewriting Systems (TRSs) are now commonly used as a modeling language for applications. In those rewriting based models, reachability analysis, i.e. proving or disproving that...
Emilie Balland, Yohan Boichut, Thomas Genet, Pierr...