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<item>
  <id>05971714</id>
  <dt>j</dt>
  <an>05971714</an>
  <augroup>
    <au>Benson, Hande Y.</au>
  </augroup>
  <ti>Mixed integer nonlinear programming using interior-point methods.</ti>
  <so>Optim. Methods Softw. 26, No. 6, 911-931 (2011).</so>
  <py>2011</py>
  <pu>Taylor \& Francis, Reading, Berkshire</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>integer programming</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1080/10556781003799303</li>
  </ligroup>
  <abgroup>
    <ab>Summary: In this paper, we outline an algorithm for solving mixed integer nonlinear programming (MINLP) problems. The approach uses a branch-and-bound framework for handling the integer variables and an infeasible interior-point method for solving the resulting nonlinear subproblems. We report on the details of the implementation, including the efficient pruning of the branch-and-bound tree via equilibrium constraints, warmstart strategies for interior-point methods, and the handling of infeasible subproblems, and present numerical results on a standard problem library. Our goal is to demonstrate the viability of interior-point methods, with suitable modifications, to be used within any MINLP framework, and the numerical results provided are quite encouraging.</ab>
    <rv></rv>
  </abgroup>
</item>