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ICML
2007
IEEE
14 years 10 months ago
Best of both: a hybridized centroid-medoid clustering heuristic
Although each iteration of the popular kMeans clustering heuristic scales well to larger problem sizes, it often requires an unacceptably-high number of iterations to converge to ...
Nizar Grira, Michael E. Houle
EVOW
2007
Springer
14 years 4 months ago
Exact/Heuristic Hybrids Using rVNS and Hyperheuristics for Workforce Scheduling
In this paper we study a complex real-world workforce scheduling problem. We propose a method of splitting the problem into smaller parts and solving each part using exhaustive sea...
Stephen Remde, Peter I. Cowling, Keshav P. Dahal, ...
WSC
2004
13 years 11 months ago
A Meta-Heuristic Based on Simulated Annealing for Solving Multiple-Objective Problems in Simulation Optimization
This paper presents a new meta heuristic algorithm based on the search method called simulated annealing, and its application to solving multi objective simulation optimization pr...
Eduardo Alberto Avello, Felipe F. Baesler, Reinald...
AIPS
2009
13 years 11 months ago
Using the Context-enhanced Additive Heuristic for Temporal and Numeric Planning
Planning systems for real-world applications need the ability to handle concurrency and numeric fluents. Nevertheless, the predominant approach to cope with concurrency followed b...
Patrick Eyerich, Robert Mattmüller, Gabriele ...
EUROCAST
2009
Springer
185views Hardware» more  EUROCAST 2009»
14 years 4 months ago
Solving the Euclidean Bounded Diameter Minimum Spanning Tree Problem by Clustering-Based (Meta-)Heuristics
The bounded diameter minimum spanning tree problem is an NP-hard combinatorial optimization problem arising in particular in network design. There exist various exact and metaheuri...
Martin Gruber, Günther R. Raidl