Nurse scheduling is a topic widely studied due to its overall effect on patient care and hospital performance. This research focuses formulating Mixed Integer Programming (MIP) workforce model as nurse rostering problem. The incorporates multiple objectives of individual preference qualification. approached by categorizing nurses into different hierarchical levels based their qualifications pos...

Conflict-driven pseudo-Boolean solvers optimize 0-1 integer linear programs by extending the conflict-driven clause learning (CDCL) paradigm from SAT solving. Though have potential to be exponentially more efficient than CDCL in theory, practice they can sometimes get hopelessly stuck even when programming (LP) relaxation is infeasible over reals. Inspired mixed (MIP), we address this problem i...

The double digestion problem for DNA restriction mapping has been proved to be NP-complete and intractable if the numbers of the DNA fragments become large. Several approaches to the problem have been tested and proved to be effective only for small problems. In this paper, we formulate the problem as a mixed-integer linear program (MIP) by following (Waterman, 1995) in a slightly different for...

This paper presents a review of past and present results approaches in the area motion planning using MIP (Mixed-integer Programming). Although early 2000s was still seen with reluctance as method for solving planning-related problems, nowadays, due to increases computational power theoretical advances, its extensive modeling capabilities versatility are coming fore enjoy increased application ...

We describe a tabu search (TS) approach for solving general zero-one mixed integer programming (MIP) problems that exploits the extreme point property of zero-one solutions. Specialized choice rules and aspiration criteria are identified for the problems, expressed as functions of integer infeasibility measures and objective function values. The first-level TS mechanisms are then extended with ...