Hypervolume-Based Multi-level Algorithm for the Bi-criteria Max-Cut Problem
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-7179-9_35
Reference19 articles.
1. Angel, E., Gourves, E.: Approximation algorithms for the bi-criteria weighted max-cut problem. Discrete Appl. Math. 154, 1685–1692 (2006)
2. Arraiz, E., Olivo, O.: Competitive simulated annealing and tabu search algorithms for the max-cut problem. In: Genetic and Evolutionary Computation Conference (GECCO 2009), pp. 1797–1798. Springer (2009)
3. Basseur, M., Liefooghe, A., Le, K., Burke, E.: The efficiency of indicator-based local search for multi-objective combinatorial optimisation problems. J. Heuristics 18(2), 263–296 (2012)
4. Basseur, M., Zeng, R.-Q., Hao, J.-K.: Hypervolume-based multi-objective local search. Neural Comput. Appl. 21(8), 1917–1929 (2012)
5. Benlic, U., Hao, J.-K.: An effective multilevel tabu search approach for balanced graph partitioning. Comput. Oper. Res. 38, 1066–1075 (2011)
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