NP-hard problems in hierarchical-tree clustering
Acta Informatica
Simulated annealing: theory and applications
Simulated annealing: theory and applications
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Solving the one-dimensional bin packing problem with a weight annealing heuristic
Computers and Operations Research
An effective two-stage simulated annealing algorithm for the minimum linear arrangement problem
Computers and Operations Research
A tabu search approach for the minimum sum-of-squares clustering problem
Information Sciences: an International Journal
Noising methods for a clique partitioning problem
Discrete Applied Mathematics - Special issue: IV ALIO/EURO workshop on applied combinatorial optimization
A modified noising algorithm for the graph partitioning problem
Integration, the VLSI Journal
Computers and Operations Research
A survey on optimization metaheuristics
Information Sciences: an International Journal
ParadisEO-MO: from fitness landscape analysis to efficient local search algorithms
Journal of Heuristics
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This paper presents the principles and the first results of a new combinatorial optimization method that we call the noising method. It is applied to the NP-hard problem of the clique partitioning of a graph. The results obtained from this problem which are definitely better than those provided by standard iterative-improvement methods and compare favorably with those of simulated annealing, show the relevance of the noising method.