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Volumn 5199 LNCS, Issue , 2008, Pages 72-81

Approximating minimum multicuts by evolutionary multi-objective algorithms

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; EVOLUTIONARY ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; NUCLEAR PROPULSION; POLYNOMIAL APPROXIMATION; ALGORITHMS;

EID: 56549097175     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87700-4_8     Document Type: Conference Paper
Times cited : (30)

References (22)
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  • 3
    • 8344233452 scopus 로고    scopus 로고
    • Bentz, C., Costa, M.-C., Létocard. L., Roupin. F.: Erratum to M.-C. Costa, L. Létocard and F. Roupin: Minimal multicut and maximal integer maxiflow: A survey. European Journal of Operational Research 162(1), 55-69 (2005); European Journal of Operational Research 177(2), 1312 (2007)
    • Bentz, C., Costa, M.-C., Létocard. L., Roupin. F.: Erratum to M.-C. Costa, L. Létocard and F. Roupin: Minimal multicut and maximal integer maxiflow: A survey. European Journal of Operational Research 162(1), 55-69 (2005); European Journal of Operational Research 177(2), 1312 (2007)
  • 12
    • 84901427246 scopus 로고    scopus 로고
    • Expected runtimes of a simple multi-objective evolutionary algorithm
    • Giel, O.: Expected runtimes of a simple multi-objective evolutionary algorithm. In: Proc. of the IEEE Congress on Evolutionary Computation (CEC 2003), pp. 1918-1925 (2003)
    • (2003) Proc. of the IEEE Congress on Evolutionary Computation (CEC , pp. 1918-1925
    • Giel, O.1
  • 13
    • 57349131036 scopus 로고    scopus 로고
    • Benefits and drawbacks for the use of ε-dominance in evolutionary multi-objective optimization
    • ACM Press, New York to appear
    • Horoba, C., Neumann, F.: Benefits and drawbacks for the use of ε-dominance in evolutionary multi-objective optimization. In: Proc. of the 10th Genetic and Evolutionary Computation Conference (GECCO 2008). ACM Press, New York (to appear, 2008)
    • (2008) Proc. of the 10th Genetic and Evolutionary Computation Conference (GECCO
    • Horoba, C.1    Neumann, F.2
  • 14
    • 0036715683 scopus 로고    scopus 로고
    • Combining convergence and diversity in evolutionary multi-objective optimization
    • Laumanns, M., Thiele, L., Deb, K., Zitzler, E.: Combining convergence and diversity in evolutionary multi-objective optimization. Evolutionary Computation 10(3), 263-282 (2002)
    • (2002) Evolutionary Computation , vol.10 , Issue.3 , pp. 263-282
    • Laumanns, M.1    Thiele, L.2    Deb, K.3    Zitzler, E.4
  • 15
    • 2442556083 scopus 로고    scopus 로고
    • Running time analysis of multiobjective evolutionary algorithms on pseudo-boolean functions
    • Laumanns, M., Thiele, L., Zitzler, E.: Running time analysis of multiobjective evolutionary algorithms on pseudo-boolean functions. IEEE Transactions on Evolutionary Computation 8(2), 170-182 (2004)
    • (2004) IEEE Transactions on Evolutionary Computation , vol.8 , Issue.2 , pp. 170-182
    • Laumanns, M.1    Thiele, L.2    Zitzler, E.3
  • 16
    • 33947693367 scopus 로고    scopus 로고
    • Expected runtimes of a simple evolutionary algorithm for the multi-objective minimum spanning tree problem
    • Neumann, F.: Expected runtimes of a simple evolutionary algorithm for the multi-objective minimum spanning tree problem. European Journal of Operational Research 181(3), 1620-1629 (2007)
    • (2007) European Journal of Operational Research , vol.181 , Issue.3 , pp. 1620-1629
    • Neumann, F.1
  • 17
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    • Neumann, F., Reichel, J., Skutella, M.: Computing minimum cuts by randomized search heuristics. In: Proc. of the 10th Genetic and Evolutionary Computation Conference (GECCO 2008) (2008); (to appear, available as Technical Report CI-242/08, Collaborative Research Center 531, Technical University of Dortmund)
    • Neumann, F., Reichel, J., Skutella, M.: Computing minimum cuts by randomized search heuristics. In: Proc. of the 10th Genetic and Evolutionary Computation Conference (GECCO 2008) (2008); (to appear, available as Technical Report CI-242/08, Collaborative Research Center 531, Technical University of Dortmund)
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    • Minimum spanning trees made easier via multi-objective optimization
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  • 19
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    • Witt, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.