UEGO, an Abstract Clustering Technique for Multimodal Global Optimization
Journal of Heuristics
Parallel algorithms for continuous competitive location problems
Optimization Methods & Software - THE JOINT EUROPT-OMS CONFERENCE ON OPTIMIZATION, 4-7 JULY, 2007, PRAGUE, CZECH REPUBLIC, PART I
Solving the multiple competitive facilities location and design problem on the plane
Evolutionary Computation
Heuristics for the facility location and design (1|1)-centroid problem on the plane
Computational Optimization and Applications
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In this work, a parallel version of the evolutionary algorithm called UEGO (Universal Evolutionary Global Optimizer ) has been implemented and evaluated on shared memory architectures. It is based on a threaded programming model, which is suitable to be run on current personal computers with multicore processors.