The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Optimization by Simulated Annealing: An Experimental Evaluation; Part II, Graph Coloring and Number Partitioning
Abstract
This is the second in a series of three papers that empirically examine the competitiveness of simulated annealing in certain well-studied domains of combinatorial optimization. Simulated annealing is a randomized technique proposed by S. Kirkpatrick, C. D. Gelatt and M. P. Vecchi for improving local optimization algorithms. Here we report on experiments at adapting simulated annealing to graph coloring and number partitioning, two problems for which local optimization had not previously been thought suitable. For graph coloring, we report on three simulated annealing schemes, all of which can dominate traditional techniques for certain types of graphs, at least when large amounts of computing time are available. For number partitioning, simulated annealing is not competitive with the differencing algorithm of N. Karmarkar and R. M. Karp, except on relatively small instances. Moreover, if running time is taken into account, natural annealing schemes cannot even outperform multiple random runs of the local optimization algorithms on which they are based, in sharp contrast to the observed performance of annealing on other problems.
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Cites
Optimization by Simulated Annealing
Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983) · Science · doi:10.1126/science.220.4598.671 · Cited by 45,134
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An Efficient Heuristic Procedure for Partitioning Graphs
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An Effective Heuristic Algorithm for the Traveling-Salesman Problem
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Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm
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Simulated annealing: theory and applications.
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New methods to color the vertices of a graph
Brélaz, D. (1979) · Communications of the ACM · doi:10.1145/359094.359101 · Cited by 1,567
Optimization by Simulated Annealing: An Experimental Evaluation; Part I, Graph Partitioning
Johnson, D. S., Aragon, C. R., McGeoch, L. A., & Schevon, C. (1989) · Operations Research · doi:10.1287/opre.37.6.865 · Cited by 1,457
Self-citation(1990) · Discrete Applied Mathematics · doi:10.1016/0166-218x(90)90039-f · Cited by 1,440
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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
A Two-Stage Hybrid Local Search for the Vehicle Routing Problem with Time Windows
Bent, R., & Van Hentenryck, P. (2004) · Transportation Science · doi:10.1287/trsc.1030.0049 · Cited by 355
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A Review of Methodological Approaches for the Design and Optimization of Wind Farms
Herbert-Acero, J., Probst, O., Réthoré, P.-E., Larsen, G., & Castillo-Villar, K. (2014) · Energies · doi:10.3390/en7116930 · Cited by 311
Metadata
- Authors
- Johnson, D. S., Aragon, C. R., McGeoch, L. A., & Schevon, C.
- Venue
- Operations Research
- Published
- 1991-06
- Volume
- 39
- Issue
- 3
- Pages
- 378-406
- ISSN
- 0030-364X (ISSN-L)
- 1526-5463
- OpenAlex
- W2153638045
- Cited by
- 845
- References
- 20
- FWCI
- 23.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Johnson, D. S., Aragon, C. R., McGeoch, L. A., & Schevon, C. (1991). Optimization by Simulated Annealing: An Experimental Evaluation; Part II, Graph Coloring and Number Partitioning. Operations Research. https://doi.org/10.1287/opre.39.3.378
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
