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A Python/C library for bound-constrained global optimization with continuous GRASP

✍ Scribed by R. M. A. Silva, M. G. C. Resende, P. M. Pardalos, M. J. Hirsch

Book ID: 120885491
Publisher: Springer-Verlag
Year: 2012
Tongue: English
Weight: 545 KB
Volume: 7
Category: Article
ISSN: 1862-4472
DOI: 10.1007/s11590-012-0475-7

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## Abstract Heuristic methods, such as tabu search, are efficient for global optimizations. Most studies, however, have focused on constraint‐free optimizations. Penalty functions are commonly used to deal with constraints for global optimization algorithms in dealing with constraints. This is some