Primal heuristics have allowed mixed-integer programming to extend to many practical applications by guaranteeing that feasible solutions of high quality are available at an early stage of the solving process. This first comprehensive book on its use and development is ideal for graduate students and industry practitioners.
Primal heuristics have allowed mixed-integer programming to extend to many practical applications by guaranteeing that feasible solutions of high quality are available at an early stage of the solving process. This first comprehensive book on its use and development is ideal for graduate students and industry practitioners.
Timo Berthold is Lecturer at TU Berlin and a Director at FICO, leading the MIP research and development team of the FICO Xpress Solver. He is an expert on heuristic methods and computational mixed-integer linear and nonlinear programming. He has won multiple awards for his research.
Inhaltsangabe
1. Introduction and concepts 2. Large neighborhood search 3. Rounding, propagation and diving 4. The feasibility pump family 5. Pivoting and line search heuristics 6. Computational study 7. Primal heuristics for mixed integer nonlinear programming 8. Machine learning for primal heuristics Appendix. Quiz solutions References Index.
1. Introduction and concepts 2. Large neighborhood search 3. Rounding, propagation and diving 4. The feasibility pump family 5. Pivoting and line search heuristics 6. Computational study 7. Primal heuristics for mixed integer nonlinear programming 8. Machine learning for primal heuristics Appendix. Quiz solutions References Index.
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