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Cited by 373

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

An Ant Colony System Hybridized with a New Local Search for the Sequential Ordering Problem

Gambardella, Luca Maria, Dorigo, Marco·2000·INFORMS Journal on Computing

Abstract

We present a new local optimizer called SOP-3-exchange for the sequential ordering problem that extends a local search for the traveling salesman problem to handle multiple constraints directly without increasing computational complexity. An algorithm that combines the SOP-3-exchange with an Ant Colony Optimization algorithm is described, and we present experimental evidence that the resulting algorithm is more effective than existing methods for the problem. The best-known results for many of a standard test set of 22 problems are improved using the SOP-3-exchange with our Ant Colony Optimization algorithm or in combination with the MPO/AI algorithm (Chen and Smith 1996).

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Metadata

Authors
Gambardella, L. M., & Dorigo, M.
Venue
INFORMS Journal on Computing
Published
2000-08
Volume
12
Issue
3
Pages
237-255
ISSN
  • 0899-1499 (ISSN-L)
  • 1091-9856
  • 1526-5528
OpenAlex
W2119650324
Cited by
373
References
31
FWCI
8.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Ant Colony System Hybridized with a New Local Search for the Sequential Ordering Problem. https://app.cochat.ai/papers/10.1287/ijoc.12.3.237.12636
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Gambardella, L. M., & Dorigo, M. (2000). An Ant Colony System Hybridized with a New Local Search for the Sequential Ordering Problem. INFORMS Journal on Computing. https://doi.org/10.1287/ijoc.12.3.237.12636

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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.