Multiple objective branch and bound for mixed 0-1 linear programming: Corrections and improvements for the biobjective case

نویسندگان

  • Thomas Vincent
  • Florian Seipp
  • Stefan Ruzika
  • Anthony Przybylski
  • Xavier Gandibleux
چکیده

This work addresses the correction and improvement of Mavrotas and Diakoulaki’s branch and bound algorithm for mixed 0-1 MOLP. We first develop about the issues encountered by the original algorithm and propose and corrected version for the biobjective case. We then introduce several improvements about the bounds and end with the proposition of a new algorithm based on the two phase method and the Branch and Bound.

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عنوان ژورنال:
  • Computers & OR

دوره 40  شماره 

صفحات  -

تاریخ انتشار 2013