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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 11 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
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
14 years 24 days ago
Evaluation of Parameter Sensitivity for Portable Embedded Systems through Evolutionary Techniques
Power consumption and portability issues are becoming increasingly significant in embedded system architectures. Therefore, it is important that chip architects and integrated circ...
James Northern III, Michael A. Shanblatt
CEC
2008
IEEE
14 years 2 months ago
Path optimization for multiple objectives in directed graphs using genetic algorithms
Abstract— This paper presents a genetic algorithmic approach for finding efficient paths in directed graphs when optimizing multiple objectives. Its aim is to provide solutions...
Juan Rada, Ruben Parma, Wilmer Pereira
DATE
2006
IEEE
110views Hardware» more  DATE 2006»
14 years 1 months ago
Top-down heterogeneous synthesis of analog and mixed-signal systems
A new approach for automated synthesis of analog and mixed-signal systems is presented. The heterogeneous genetic optimization strategy starts from a functional description and ev...
Ewout Martens, Georges G. E. Gielen
ICNC
2009
Springer
14 years 2 months ago
Reducing Boarding Time: Synthesis of Improved Genetic Algorithms
—With the aim to minimize boarding time and devise procedures for boarding strategies, this paper develop the synthesis of Improved Genetic Algorithms and simulation. This paper ...
Kang Wang