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Refalo, P. (2004) Impact-Based Search Strategies for Constraint Programming. In: Wallace, M., Ed., Principles and Practice of Constraint Programming—CP 2004, Lecture Notes in Computer Science, Vol. 3258, Springer, Berlin, 557-571.
http://dx.doi.org/10.1007/978-3-540-30201-8_41

has been cited by the following article:

• TITLE: On Merging Cover Inequalities for Multiple Knapsack Problems

  AUTHORS: Randal Hickman, Todd Easton

  KEYWORDS: Multiple Knapsack Problem, Cutting Plane, Cover Inequality, Inequality Merging, Pseudocost, Integer Programming

  JOURNAL NAME: Open Journal of Optimization, Vol.4 No.4, December 25, 2015

  ABSTRACT: This paper describes methods to merge two cover inequalities and also simultaneously merge multiple cover inequalities in a multiple knapsack instance. Theoretical results provide conditions under which merged cover inequalities are valid. Polynomial time algorithms are created to find merged cover inequalities. A computational study demonstrates that merged inequalities improve the solution times for benchmark multiple knapsack instances by about 9% on average over CPLEX with default settings.