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GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
16 years 4 days ago
Directional self-learning of genetic algorithm
In order to overcome the low convergence speed and prematurity of classical genetic algorithm, an improved method named directional self-learning of genetic algorithm (DSLGA) is p...
Lin Cong, Yuheng Sha, Licheng Jiao, Fang Liu
ICASSP
2011
IEEE
14 years 10 months ago
Adaptive frequency-domain biased estimation algorithms with automatic adjustment of shrinkage factors
In this work, we propose adaptive frequency-domain biased estimation algorithms with mechanisms to automatically adjust the shrinkage factors. The proposed estimation algorithms i...
Sheng Li, Rodrigo C. de Lamare, Martin Haardt
BPM
2009
Springer
138views Business» more  BPM 2009»
16 years 1 months ago
Graph Matching Algorithms for Business Process Model Similarity Search
We investigate the problem of ranking all process models in a repository according to their similarity with respect to a given process model. We focus specifically on the applicat...
Remco M. Dijkman, Marlon Dumas, Luciano Garc&iacut...
GECCO
2005
Springer
149views Optimization» more  GECCO 2005»
16 years 4 days ago
Parallel genetic algorithms on line topology of heterogeneous computing resources
This paper evaluates a parallel genetic algorithm (GA) on the line topology of heterogeneous computing resources. Evolution process of parallel GAs is investigated on two types of...
Yiyuan Gong, Morikazu Nakamura, Shiro Tamaki
WSC
2007
15 years 9 months ago
A simulation-based algorithm for supply chain optimization
In a supply chain, there are wide variety of problems, such as transportation scheduling problems and warehouse location problems. These problems are independently defined as opt...
Takayuki Yoshizumi, Hiroyuki Okano