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An approximate approach of global optimization for polynomial programming problems

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  • Li, Han-Lin
  • Chang, Ching-Ter

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  • Li, Han-Lin & Chang, Ching-Ter, 1998. "An approximate approach of global optimization for polynomial programming problems," European Journal of Operational Research, Elsevier, vol. 107(3), pages 625-632, June.
    • Handle: RePEc:eee:ejores:v:107:y:1998:i:3:p:625-632
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    References listed on IDEAS

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    1. Li, Han-Lin, 1994. "A global approach for general 0-1 fractional programming," European Journal of Operational Research, Elsevier, vol. 73(3), pages 590-596, March.
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    Cited by:

    1. Li, Han-Lin & Tsai, Jung-Fa, 2008. "A distributed computation algorithm for solving portfolio problems with integer variables," European Journal of Operational Research, Elsevier, vol. 186(2), pages 882-891, April.
    2. Castro, F. & Gago, J. & Hartillo, I. & Puerto, J. & Ucha, J.M., 2011. "An algebraic approach to integer portfolio problems," European Journal of Operational Research, Elsevier, vol. 210(3), pages 647-659, May.
    3. Chang, Ching-Ter, 2000. "An efficient linearization approach for mixed-integer problems," European Journal of Operational Research, Elsevier, vol. 123(3), pages 652-659, June.
    4. Luo, Fengqiao & Mehrotra, Sanjay, 2019. "Decomposition algorithm for distributionally robust optimization using Wasserstein metric with an application to a class of regression models," European Journal of Operational Research, Elsevier, vol. 278(1), pages 20-35.
    5. Chang, Ching-Ter, 2002. "On the posynomial fractional programming problems," European Journal of Operational Research, Elsevier, vol. 143(1), pages 42-52, November.
    6. Teles, João P. & Castro, Pedro M. & Matos, Henrique A., 2013. "Univariate parameterization for global optimization of mixed-integer polynomial problems," European Journal of Operational Research, Elsevier, vol. 229(3), pages 613-625.
    7. P. Nataraj & M. Arounassalame, 2011. "Constrained global optimization of multivariate polynomials using Bernstein branch and prune algorithm," Journal of Global Optimization, Springer, vol. 49(2), pages 185-212, February.
    8. Tiago Andrade & Fabricio Oliveira & Silvio Hamacher & Andrew Eberhard, 2019. "Enhancing the normalized multiparametric disaggregation technique for mixed-integer quadratic programming," Journal of Global Optimization, Springer, vol. 73(4), pages 701-722, April.
    9. Li, Han-Lin & Yu, Chian-Son, 1999. "A global optimization method for nonconvex separable programming problems," European Journal of Operational Research, Elsevier, vol. 117(2), pages 275-292, September.

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