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GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
16 years 21 days ago
Hybridizing evolutionary algorithms and clustering algorithms to find source-code clones
This paper presents a hybrid approach to detect source-code clones that combines evolutionary algorithms and clustering. A case-study is conducted on a small C++ code base. The pr...
Andrew Sutton, Huzefa H. Kagdi, Jonathan I. Maleti...
CSMR
2004
IEEE
15 years 11 months ago
The Weighted Combined Algorithm: A Linkage Algorithm for Software Clustering
Software systems need to evolve as business requirements, technology and environment change. As software is modified to accommodate the required changes, its structure deteriorate...
Onaiza Maqbool, Haroon A. Babri
EMO
2005
Springer
110views Optimization» more  EMO 2005»
16 years 22 days ago
Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
Felix Streichert, Holger Ulmer, Andreas Zell
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
16 years 12 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
GEM
2008
15 years 8 months ago
Initial Population Diversity Does Not Influence Performance
- It is widely believed that greater initial population diversity leads to improved performance in genetic algorithms. However, this assumption has not been rigorously tested previ...
Pedro A. Diaz-Gomez, Dean F. Hougen