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» An Indirect Genetic Algorithm for Set Covering Problems
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ICAC
2009
IEEE
15 years 5 months ago
Applying genetic algorithms to decision making in autonomic computing systems
Increasingly, applications need to be able to self-reconfigure in response to changing requirements and environmental conditions. Autonomic computing has been proposed as a means...
Andres J. Ramirez, David B. Knoester, Betty H. C. ...
72
Voted
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
15 years 2 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
117
Voted
GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
15 years 4 months ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 2 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
DAC
2009
ACM
15 years 5 months ago
Clock skew optimization via wiresizing for timing sign-off covering all process corners
Manufacturing process variability impacts the performance of synchronous logic circuits by means of its effect on both clock network and functional block delays. Typically, varia...
Sari Onaissi, Khaled R. Heloue, Farid N. Najm