Multifactorial Evolutionary Algorithm For Clustered Minimum Routing Cost Problem-Reference-Cited by-同舟云学术

Multifactorial Evolutionary Algorithm For Clustered Minimum Routing Cost Problem

Published:2019 Issue: Volume: Page:
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Container-title:Proceedings of the Tenth International Symposium on Information and Communication Technology - SoICT 2019
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Author:

Trung Tran Ba¹,Thanh Le Tien¹,Hieu Ly Trung¹,Thanh Pham Dinh²,Binh Huynh Thi Thanh¹

Affiliation:

1. School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam

2. Tay Bac University, Sonla, Vietnam

Publisher

ACM Press

Reference24 articles.

1. K. K. Bali, A. Gupta, L. Feng, Y. S. Ong, and Tan Puay Siew. 2017. Linearized domain adaptation in evolutionary multi-tasking. In 2017 IEEE Congress on Evolutionary Computation (CEC). Institute of Electrical and Electronics Engineers (IEEE), Donostia/San Sebastian, Spain., 1295--1302.

2. K. K. Bali, Y. Ong, A. Gupta, and P. S. Tan. 2019. Multifactorial Evolutionary Algorithm with Online Transfer Parameter Estimation: MFEA-II. IEEE Transactions on Evolutionary Computation (Early Access), - (march 2019), 1--1.

3. Kavitesh Kumar Bali, Yew-Soon Ong, Abhishek Gupta, and Puay Siew Tan. 2019. Multifactorial Evolutionary Algorithm with Online Transfer Parameter Estimation: MFEA-II. IEEE Transactions on Evolutionary Computation (2019).

4. Huynh Thi Thanh Binh, Pham Dinh Thanh, and Ta Bao Thang. 2019. New approach to solving the clustered shortest-path tree problem based on reducing the search space of evolutionary algorithm. Knowledge-Based Systems 180 (2019), 12 -- 25.

5. Y. Chen, J. Zhong, L. Feng, and J. Zhang. 2019. An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization. IEEE Transactions on Emerging Topics in Computational Intelligence (Early Access), - (june 2019), 1--16.

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