Classical Thermodynamics-based Parallel Annealing Algorithm for High-speed and Robust Combinatorial Optimization-Reference-Cited by-同舟云学术

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Classical Thermodynamics-based Parallel Annealing Algorithm for High-speed and Robust Combinatorial Optimization

Published:2024-07-14 Issue: Volume:46 Page:196-205
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
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Author:

Kuroki Kyo¹^ORCID,Jimbo Satoru¹^ORCID,Chu Thiem Van¹^ORCID,Motomura Masato¹^ORCID,Kawamura Kazushi¹^ORCID

Affiliation:

1. Tokyo Institute of Technology, Yokohama, Kanagawa, Japan

Funder

Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science

PRESTO, Japan Science and Technology Agency

Publisher

ACM

Reference50 articles.

1. 2017. DIMACS Graphs: Benchmark Instances and Best Upper Bounds. Retrieved Dec. 16, 2023 from https://cedric.cnam.fr/~porumbed/graphs/

2. 2018. Graph Coloring Instances. Retrieved Dec. 16, 2023 from https://mat.tepper.cmu.edu/COLOR/instances.html

3. G. Bilbro, R. Mann, T. K. Miller, W. E. Snyder, D. E. Van den Bout, and M. White. 1988. Optimization by Mean Field Annealing. In Proceedings of the 1st International Conference on Neural Information Processing Systems (NIPS'88). MIT Press, Cambridge, MA, USA, 91--98.

4. Analysis of TSP: Simulated Annealing and Genetic Algorithm Approaches

5. Explaining the Gibbs Sampler

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