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Multi-objective tabu search using a multinomial probability mass function

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  • Kulturel-Konak, Sadan
  • Smith, Alice E.
  • Norman, Bryan A.

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  • Kulturel-Konak, Sadan & Smith, Alice E. & Norman, Bryan A., 2006. "Multi-objective tabu search using a multinomial probability mass function," European Journal of Operational Research, Elsevier, vol. 169(3), pages 918-931, March.
    • Handle: RePEc:eee:ejores:v:169:y:2006:i:3:p:918-931
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    References listed on IDEAS

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    1. David W. Coit & Alice E. Smith & David M. Tate, 1996. "Adaptive Penalty Methods for Genetic Optimization of Constrained Combinatorial Problems," INFORMS Journal on Computing, INFORMS, vol. 8(2), pages 173-182, May.
    2. Sadan Kulturel-Konak & Bryan A. Norman & David W. Coit & Alice E. Smith, 2004. "Exploiting Tabu Search Memory in Constrained Problems," INFORMS Journal on Computing, INFORMS, vol. 16(3), pages 241-254, August.
    3. Viana, Ana & Pinho de Sousa, Jorge, 2000. "Using metaheuristics in multiobjective resource constrained project scheduling," European Journal of Operational Research, Elsevier, vol. 120(2), pages 359-374, January.
    4. Jones, D. F. & Mirrazavi, S. K. & Tamiz, M., 2002. "Multi-objective meta-heuristics: An overview of the current state-of-the-art," European Journal of Operational Research, Elsevier, vol. 137(1), pages 1-9, February.
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    Cited by:

    1. Michael Brusco & Patrick Doreian & Douglas Steinley & Cinthia Satornino, 2013. "Multiobjective Blockmodeling for Social Network Analysis," Psychometrika, Springer;The Psychometric Society, vol. 78(3), pages 498-525, July.
    2. José-Fernando Camacho-Vallejo & Lilian López-Vera & Alice E. Smith & José-Luis González-Velarde, 2022. "A tabu search algorithm to solve a green logistics bi-objective bi-level problem," Annals of Operations Research, Springer, vol. 316(2), pages 927-953, September.
    3. M Bachlaus & N Shukla & M. K. Tiwari & R Shankar, 2006. "Optimization of system reliability using chaos-embedded self-organizing hierarchical particle swarm optimization," Journal of Risk and Reliability, , vol. 220(2), pages 77-91, December.
    4. J. L. Redondo & J. Fernández & P. M. Ortigosa, 2017. "FEMOEA: a fast and efficient multi-objective evolutionary algorithm," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 85(1), pages 113-135, February.
    5. K Echtle & I Eusgeld & D Hirsch, 2008. "Genetic multistart algorithm for the design of fault-tolerant systems," Journal of Risk and Reliability, , vol. 222(1), pages 17-29, March.
    6. Bosse, Sascha & Splieth, Matthias & Turowski, Klaus, 2016. "Multi-objective optimization of IT service availability and costs," Reliability Engineering and System Safety, Elsevier, vol. 147(C), pages 142-155.
    7. F. Zeynep Sargut & Caner Altuntaş & Dilek Cetin Tulazoğlu, 2017. "Multi-objective integrated acyclic crew rostering and vehicle assignment problem in public bus transportation," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(4), pages 1071-1096, October.
    8. Selçuklu, Saltuk Buğra & Coit, David W. & Felder, Frank A., 2020. "Pareto uncertainty index for evaluating and comparing solutions for stochastic multiple objective problems," European Journal of Operational Research, Elsevier, vol. 284(2), pages 644-659.

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