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GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 9 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...
LPAR
2005
Springer
14 years 2 months ago
Another Complete Local Search Method for SAT
Local search algorithms are one of the effective methods for solving hard combinatorial problems. However, a serious problem of this approach is that the search often traps at loca...
Haiou Shen, Hantao Zhang
WABI
2007
Springer
109views Bioinformatics» more  WABI 2007»
14 years 2 months ago
A Novel Method for Signal Transduction Network Inference from Indirect Experimental Evidence
In this paper we introduce a new method of combined synthesis and inference of biological signal transduction networks. A main idea of our method lies in representing observed cau...
Réka Albert, Bhaskar DasGupta, Riccardo Don...
JCST
2008
134views more  JCST 2008»
13 years 8 months ago
Orthogonal Methods Based Ant Colony Search for Solving Continuous Optimization Problems
Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation. Although traditional an...
Xiaomin Hu, Jun Zhang, Yun Li
MEMETIC
2010
311views more  MEMETIC 2010»
13 years 3 months ago
Iterated local search with Powell's method: a memetic algorithm for continuous global optimization
In combinatorial solution spaces Iterated Local Search (ILS) turns out to be exceptionally successful. The question arises: is ILS also capable of improving the optimization proces...
Oliver Kramer