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Computer ScienceMathematics

A survey on metaheuristics for stochastic combinatorial optimization

L. Bianchi, M. Dorigo, L. Gambardella, W. Gutjahr

2009.6.1Natural Computing

DOI: 10.1007/s11047-008-9098-4

tlooto Summary

In this paper metaheuristics such as Ant Colony Optimization, Evolutionary Computation, Simulated Annealing, Tabu Search and others are introduced, and their applications to the class of Stochastic Combinatorial Optimization Problems (SCOPs) is thoroughly reviewed.

Abstract

Abstract is not available.

Citation format

BIANCHI, L., et al. A survey on metaheuristics for stochastic combinatorial optimization. Natural Computing, 2009, 8: 239–287.