DeepACO: neural-enhanced ant systems for combinatorial optimization
Ant Colony Optimization (ACO) is a meta-heuristic algorithm that has been successfully applied to various Combinatorial Optimization Problems (COPs). Traditionally, customizing ACO for a specific problem requires the expert design of knowledge-driven heuristics. In this paper, we propose DeepACO, a...
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Main Authors: | YE, Haoran, WANG, Jiarui, CAO, Zhiguang, LIANG, Helan, LI, Yong |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
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Online Access: | https://ink.library.smu.edu.sg/sis_research/8401 https://ink.library.smu.edu.sg/context/sis_research/article/9404/viewcontent/2309.14032.pdf |
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Institution: | Singapore Management University |
Language: | English |
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