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» An evolutionary method for complex-process optimization
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GECCO
2009
Springer
175views Optimization» more  GECCO 2009»
15 years 5 months ago
Evolving soft robotic locomotion in PhysX
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
15 years 1 months ago
Multi-task code reuse in genetic programming
We propose a method of knowledge reuse between evolutionary processes that solve different optimization tasks. We define the method in the framework of tree-based genetic progra...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
138
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JCM
2006
144views more  JCM 2006»
15 years 13 days ago
Using Micro-Genetic Algorithms to Improve Localization in Wireless Sensor Networks
Wireless sensor networks are widely adopted in many location-sensitive applications including disaster management, environmental monitoring, military applications where the precise...
Vincent Tam, King-Yip Cheng, King-Shan Lui
132
Voted
PRL
2007
180views more  PRL 2007»
14 years 12 months ago
Feature selection based on rough sets and particle swarm optimization
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...
Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xi...
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 5 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....