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» Directional self-learning of genetic algorithm
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VLSID
1996
IEEE
133views VLSI» more  VLSID 1996»
14 years 1 months ago
Allocation and Binding in Data Path Synthesis Using a Genetic Algorithm Approach
A technique for allocatzon and binding for data path synthesis (DPS) using a Genetic Algorithm (GA) approach has been developed. The proposed genetic algorithm uses a non-conventi...
Chittaranjan A. Mandal, P. P. Chakrabarti, Sujoy G...
AAAI
2006
13 years 11 months ago
A Direct Evolutionary Feature Extraction Algorithm for Classifying High Dimensional Data
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
Qijun Zhao, David Zhang, Hongtao Lu
APIN
2005
87views more  APIN 2005»
13 years 9 months ago
Improving Parallel Ordering of Sparse Matrices Using Genetic Algorithms
In the direct solution of sparse symmetric and positive definite linear systems, finding an ordering of the matrix to minimize the height 1
Wen-Yang Lin
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
14 years 1 months ago
Incorporating directional information within a differential evolution algorithm for multi-objective optimization
The field of Differential Evolution (DE) has demonstrated important advantages in single objective optimization. To date, no previous research has explored how the unique characte...
Antony W. Iorio, Xiaodong Li
CEC
2007
IEEE
13 years 11 months ago
Random search can outperform mutation
— Efficient discovery of lowest level building blocks is a fundamental requirement for a successful genetic algorithm. Although considerable effort has been directed at techniqu...
Cameron Skinner, Patricia J. Riddle