The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Greedy Randomized Adaptive Search Procedures
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Cites
Combinatorial Optimization: Algorithms and Complexity.
Johnson, D. S., Papadimitriou, C. H., & Steiglitz, K. (1984) · The American Mathematical Monthly · doi:10.2307/2322374 · Cited by 5,942
Glover, F. (1990) · ORSA Journal on Computing · doi:10.1287/ijoc.2.1.4 · Cited by 5,647
An Efficient Heuristic Procedure for Partitioning Graphs
Kernighan, B. W., & Lin, S. (1970) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1970.tb01770.x · Cited by 5,305
Glover, F. (1989) · ORSA Journal on Computing · doi:10.1287/ijoc.1.3.190 · Cited by 5,106
Optimization by simulated annealing: Quantitative studies
Kirkpatrick, S. (1984) · Journal of Statistical Physics · doi:10.1007/bf01009452 · Cited by 1,805
A new method for solving hard satisfiability problems
Selman, B., Levesque, H. J., & Mitchell, D. G. M. (1992) · Cited by 1,156
A probabilistic heuristic for a computationally difficult set covering problem
Feo, T. A., & Resende, M. G. C. (1989) · Operations Research Letters · doi:10.1016/0167-6377(89)90002-3 · Cited by 1,065
Self-citationCliques, Coloring, and Satisfiability
(1996) · DIMACS Series in Discrete Mathematics and Theoretical Computer Science · doi:10.1090/dimacs/026 · Cited by 476
QAPLIB-A quadratic assignment problem library
Burkard, R. E., Karisch, S., & Rendl, F. (1991) · European Journal of Operational Research · doi:10.1016/0377-2217(91)90197-4 · Cited by 332
Avoiding local optima in thep-hub location problem using tabu search and GRASP
Klincewicz, J. G. (1992) · Annals of Operations Research · doi:10.1007/bf02060483 · Cited by 234
Cited by
Metaheuristics in combinatorial optimization: Overview and conceptual comparison
Blum, C., & Roli, A. (2003) · ACM Computing Surveys · doi:10.1145/937503.937505 · Cited by 3,236
Metaheuristics in Combinatorial Optimization
Gendreau, M., & Potvin, J.-Y. (2005) · Annals of Operations Research · doi:10.1007/s10479-005-3971-7 · Cited by 2,338
Greedy Randomized Adaptive Search Procedures
Resende, M. G. C., & Ribeiro, C. C. (2006) · International Series in Operations Research & Management Science · doi:10.1007/0-306-48056-5_8 · Cited by 2,310
Self-citationVariable neighborhood search: Principles and applications
Hansen, P., & Mladenović, N. (2001) · European Journal of Operational Research · doi:10.1016/s0377-2217(00)00100-4 · Cited by 1,902
Artificial Intelligence in Supply Chain Management: A Systematic Literature Review
Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.09.009 · Cited by 1,020
MAX-MIN Ant System and local search for the traveling salesman problem
Stutzle, T., & Hoos, H. (2002) · Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97) · doi:10.1109/icec.1997.592327 · Cited by 831
Hyper-Heuristics: An Emerging Direction in Modern Search Technology
Burke, E., Kendall, G., Newall, J., Hart, E., Ross, P., & Schulenburg, S. (2006) · International Series in Operations Research & Management Science · doi:10.1007/0-306-48056-5_16 · Cited by 665
Karimi-Mamaghan, M., Mohammadi, M., Meyer, P., Karimi-Mamaghan, A. M., & Talbi, E.-G. (2022) · European Journal of Operational Research · doi:10.1016/j.ejor.2021.04.032 · Cited by 462
A review of recent advances in global optimization
Floudas, C. A., & Gounaris, C. E. (2009) · Journal of Global Optimization · doi:10.1007/s10898-008-9332-8 · Cited by 455
Designing and reporting on computational experiments with heuristic methods
Barr, R. S., Golden, B. L., Kelly, J. P., Resende, M. G. C., & Stewart, W. R. (1995) · Journal of Heuristics · doi:10.1007/bf02430363 · Cited by 448
Self-citationAnt Colony System for a Dynamic Vehicle Routing Problem
Montemanni, R., Gambardella, L. M., Rizzoli, A. E., & Donati, A. V. (2005) · Journal of Combinatorial Optimization · doi:10.1007/s10878-005-4922-6 · Cited by 414
Guided local search and its application to the traveling salesman problem
Voudouris, C., & Tsang, E. (1999) · European Journal of Operational Research · doi:10.1016/s0377-2217(98)00099-x · Cited by 409
Workflow Scheduling Algorithms for Grid Computing
Yu, J., Buyya, R., & Ramamohanarao, K. (2008) · Studies in Computational Intelligence · doi:10.1007/978-3-540-69277-5_7 · Cited by 388
A Graph-based Ant System and its convergence
Gutjahr, W. J. (2000) · Future Generation Computer Systems · doi:10.1016/s0167-739x(00)00044-3 · Cited by 368
An Introduction to Variable Neighborhood Search
Hansen, P., & Mladenović, N. (1999) · Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization · doi:10.1007/978-1-4615-5775-3_30 · Cited by 340
A new dominance rule to minimize total weighted tardiness with unequal release dates
Akturk, M. S., & Ozdemir, D. (2001) · European Journal of Operational Research · doi:10.1016/s0377-2217(00)00319-2 · Cited by 54
The edge-weighted clique problem: Valid inequalities, facets and polyhedral computations
Macambira, E. M., & de Souza, C. C. (2000) · European Journal of Operational Research · doi:10.1016/s0377-2217(99)00262-3 · Cited by 55
Quantum Approximation for Wireless Scheduling
Choi, J., Oh, S., & Kim, J. (2020) · Applied Sciences · doi:10.3390/app10207116 · Cited by 44
Energy-Efficient Cluster Head Selection via Quantum Approximate Optimization
Choi, J., Oh, S., & Kim, J. (2020) · Electronics · doi:10.3390/electronics9101669 · Cited by 20
Metadata
- Authors
- Feo, T. A., & Resende, M. G. C.
- Venue
- Journal of Global Optimization
- Published
- 1995-03
- Volume
- 6
- Issue
- 2
- Pages
- 109-133
- ISSN
- 0925-5001 (ISSN-L)
- 1573-2916
- OpenAlex
- W2997776631
- Cited by
- 2,778
- References
- 12
- FWCI
- 16.28
- Type
- journal article
- Language
- en
- Open access
- closed
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
