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Ensuring population diversity in genetic algorithms: A technical note with application to the cell formation problem

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  • Nsakanda, Aaron Luntala
  • Price, Wilson L.
  • Diaby, Moustapha
  • Gravel, Marc

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  • Nsakanda, Aaron Luntala & Price, Wilson L. & Diaby, Moustapha & Gravel, Marc, 2007. "Ensuring population diversity in genetic algorithms: A technical note with application to the cell formation problem," European Journal of Operational Research, Elsevier, vol. 178(2), pages 634-638, April.
    • Handle: RePEc:eee:ejores:v:178:y:2007:i:2:p:634-638
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    References listed on IDEAS

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    1. Arzi, Yohanan & Bukchin, Joseph & Masin, Michael, 2001. "An efficiency frontier approach for the design of cellular manufacturing systems in a lumpy demand environment," European Journal of Operational Research, Elsevier, vol. 134(2), pages 346-364, October.
    2. Nsakanda, Aaron Luntala & Diaby, Moustapha & Price, Wilson L., 2006. "Hybrid genetic approach for solving large-scale capacitated cell formation problems with multiple routings," European Journal of Operational Research, Elsevier, vol. 171(3), pages 1051-1070, June.
    3. Solimanpur, M. & Vrat, P. & Shankar, R., 2004. "Ant colony optimization algorithm to the inter-cell layout problem in cellular manufacturing," European Journal of Operational Research, Elsevier, vol. 157(3), pages 592-606, September.
    4. Gravel, Marc & Luntala Nsakanda, Aaron & Price, Wilson, 1998. "Efficient solutions to the cell-formation problem with multiple routings via a double-loop genetic algorithm," European Journal of Operational Research, Elsevier, vol. 109(2), pages 286-298, September.
    5. Hertz, Alain & Kobler, Daniel, 2000. "A framework for the description of evolutionary algorithms," European Journal of Operational Research, Elsevier, vol. 126(1), pages 1-12, October.
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