Understanding the behavior of Solution-Guided Search for job-shop scheduling

Author:

Heckman Ivan,Beck J. Christopher

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Management Science and Operations Research,General Engineering,Software

Reference39 articles.

1. Achlioptas, D., Gomes, C. P., Kautz, H. A., & Selman, B. (2000). Generating satisfiable problem instances. In Proceedings of the seventeenth national conference on artificial intelligence (pp. 256–261).

2. Baptista, L., & Silva, J. P. M. (2000). Using randomization and learning to solve hard real-world instances of satisfiability. In Principles and practice of constraint programming (pp. 489–494).

3. Beck, J. C. (1999). Texture measurements as a basis for heuristic commitment techniques in constraint-directed scheduling. PhD thesis, University of Toronto.

4. Beck, J. C. (2005). Multi-point constructive search. In Proceedings of the eleventh international conference on principles and practice of constraint programming (CP’05) (pp. 737–741).

5. Beck, J. C. (2005). Multi-point constructive search: Extended remix. In Proceedings of the CP2005 workshop on local search techniques for constraint satisfaction (pp. 17–31).

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