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Journal of Experimental & Theoretical Artificial Intelligence Volume 33, 2021 - Issue 5
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Research Article

A multi-objective decomposition-based ant colony optimisation algorithm with negative pheromone

Jiaxu Ninga School of Information Science and Engineering, Shenyang Ligong University, Shenyang, ChinaCorrespondence[email protected]
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,
Qidong Zhaob School of Computer Science and Engineering, Northeastern University, Shenyang, ChinaView further author information
,
Peng Sunc Fidelity Investment-Veritude, Boston, SC, USAView further author information
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Yunfei Fengd Sam’s Club Technology Wal-mart Inc., Bentonville, AR, USAView further author information
Pages 827-845 | Received 17 Dec 2018, Accepted 18 Jun 2020, Published online: 04 Jul 2020

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Saied Asghari & Nima Jafari Navimipour. (2023) The role of an ant colony optimisation algorithm in solving the major issues of the cloud computing. Journal of Experimental & Theoretical Artificial Intelligence 35:6, pages 755-790.
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Articles from other publishers (3)

Zhuoran Liu, Fanhao Zhang, Xinyuan Wang, Qidong Zhao, Changsheng Zhang, Tianhua Liu & Bin Zhang. (2021) A discrete squirrel search optimization based algorithm for Bi-objective TSP. Wireless Networks.
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Teddy Nurcahyadi & Christian Blum. (2021) Adding Negative Learning to Ant Colony Optimization: A Comprehensive Study. Mathematics 9:4, pages 361.
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Yongbing Xiang & Xiaomin Yang. (2021) An ECMS for Multi-Objective Energy Management Strategy of Parallel Diesel Electric Hybrid Ship Based on Ant Colony Optimization Algorithm. Energies 14:4, pages 810.
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