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GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
14 years 1 months 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...
EVOW
2007
Springer
14 years 1 months ago
Combining Lagrangian Decomposition with an Evolutionary Algorithm for the Knapsack Constrained Maximum Spanning Tree Problem
We present a Lagrangian decomposition approach for the Knapsack Constrained Maximum Spanning Tree problem yielding upper bounds as well as heuristic solutions. This method is furth...
Sandro Pirkwieser, Günther R. Raidl, Jakob Pu...
GECCO
2004
Springer
14 years 1 months ago
Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms
When applied to real-world problems, the powerful optimization tool of Evolutionary Algorithms frequently turns out to be too time-consuming due to elaborate fitness calculations t...
Wilfried Jakob, Christian Blume, Georg Bretthauer
EMO
2001
Springer
100views Optimization» more  EMO 2001»
14 years 7 days ago
Fuzzy Evolutionary Hybrid Metaheuristic for Network Topology Design
Abstract. Topology design of enterprise networks is a hard combinatorial optimization problem. It has numerous constraints, several objectives, and a very noisy solution space. Bes...
Habib Youssef, Sadiq M. Sait, Salman A. Khan
HAIS
2009
Springer
14 years 10 days ago
Evolutionary Non-linear Great Deluge for University Course Timetabling
This paper presents a hybrid evolutionary algorithm to tackle university course timetabling problems. The proposed approach is an extension of a non-linear great deluge algorithm i...
Dario Landa Silva, Joe Henry Obit