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GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
15 years 10 months ago
How an optimal observer can collapse the search space
Many metaheuristics have difficulty exploring their search space comprehensively. Exploration time and efficiency are highly dependent on the size and the ruggedness of the search...
Christophe Philemotte, Hugues Bersini
GCC
2005
Springer
16 years 20 days ago
Query Optimization in Database Grid
DarGridâ…ˇ is an implemented database gird system whose goal is to provide a semantic solution for integrating database resources on the web. Although many algorithms have been pro...
Xiaoqing Zheng, Huajun Chen, Zhaohui Wu, Yuxin Mao
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 10 months ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin
EC
2002
228views ECommerce» more  EC 2002»
15 years 7 months ago
Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Gen
Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we pre...
Rajeev Kumar, Peter Rockett
ICPR
2008
IEEE
16 years 1 months ago
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
Fengqin Yang, Changhai Zhang, Tieli Sun