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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Bibliographic Details
Main Authors: YE, Haoran, WANG, Jiarui, CAO, Zhiguang, LIANG, Helan, LI, Yong
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