Book contents
- Frontmatter
- Contents
- Preface
- 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
5 - Pivoting and Line Search Heuristics
Published online by Cambridge University Press: 04 April 2025
- Frontmatter
- Contents
- Preface
- 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
Summary
This chapter discusses some primal heuristics that do not necessarily belong with the mainstream methods that have been implemented in the MIP solvers but are interesting either for historical reasons (first attempts of the MIP community to devise heuristic solutions within a general MIP scheme) or because they combine many of the ingredients that are at the core of this book.
- Type
- Chapter
- Information
- Primal Heuristics in Integer Programming , pp. 69 - 76Publisher: Cambridge University PressPrint publication year: 2025