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SBIA
2004
Springer
13 years 10 months ago
Detecting Promising Areas by Evolutionary Clustering Search
A challenge in hybrid evolutionary algorithms is to define efficient strategies to cover all search space, applying local search only in actually promising search areas. This pape...
Alexandre César Muniz de Oliveira, Luiz Ant...
GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
13 years 10 months ago
Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization
In this paper, we incorporate a diversity mechanism to the differential evolution algorithm to solve constrained optimization problems without using a penalty function. The aim is...
Efrén Mezura-Montes, Jesús Vel&aacut...
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
13 years 10 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...
OR
2007
Springer
13 years 4 months ago
Hybrid heuristics for the probabilistic maximal covering location-allocation problem
The Maximal Covering Location Problem (MCLP) maximizes the population that has a facility within a maximum travel distance or time. Numerous extensions have been proposed to enhan...
Francisco de Assis Corrêa, Antonio Augusto C...
CEC
2008
IEEE
13 years 11 months ago
Divide and conquer evolutionary TSP solution for vehicle path planning
— The problem of robotic area coverage is applicable to many domains, such as search, agriculture, cleaning, and machine tooling. The robotic area coverage task is concerned with...
Ryan J. Meuth, Donald C. Wunsch