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» Optimizing for Reduced Code Space using Genetic Algorithms
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197
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NC
1998
138views Neural Networks» more  NC 1998»
15 years 7 months ago
Parallel Adaptive Genetic Algorithm
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Leo Budin, Marin Golub, Domagoj Jakobovic
183
Voted
3DIM
2005
IEEE
16 years 10 hour ago
Fitting of 3D Circles and Ellipses Using a Parameter Decomposition Approach
Many optimization processes encounter a problem in efficiently reaching a global minimum or a near global minimum. Traditional methods such as Levenberg-Marquardt algorithm and t...
Xiaoyi Jiang, Da-Chuan Cheng
174
Voted
GECCO
2003
Springer
15 years 11 months ago
Enhancing the Performance of GP Using an Ancestry-Based Mate Selection Scheme
The performance of genetic programming relies mostly on population-contained variation. If the population diversity is low then there will be a greater chance of the algorithm bein...
Rodney Fry, Andrew M. Tyrrell
162
Voted
EUROGP
2004
Springer
145views Optimization» more  EUROGP 2004»
15 years 11 months ago
Toward an Alternative Comparison between Different Genetic Programming Systems
In this paper, we use multi-objective techniques to compare different genetic programming systems, permitting our comparison to concentrate on the effect of representation and sepa...
Nguyen Xuan Hoai, Robert I. McKay, Daryl Essam, Hu...
167
Voted
CEC
2008
IEEE
16 years 26 days ago
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis
— The high-level synthesis process involves three interdependent and NP-complete optimization problems: (i) the operation scheduling, (ii) the resource allocation, and (iii) the ...
Christian Pilato, Daniele Loiacono, Fabrizio Ferra...