Immune Genetic Algorithm Optimization and Integration of Logistics Network Terminal Resources

Wang Wei; Md Arafatur Rahman; Ibnu Febry Kurniawan; A. Taufiq Asyhari; S. M.Nazmus Sadat; Liu Yao

doi:10.1109/IRC.2019.00087

Immune Genetic Algorithm Optimization and Integration of Logistics Network Terminal Resources

Wang Wei, Md Arafatur Rahman, Ibnu Febry Kurniawan, A. Taufiq Asyhari, S. M.Nazmus Sadat, Liu Yao

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

9 Citations (Scopus)

Abstract

This paper discusses an optimized method of terminal nodes integration that belongs to two merged and reorganized companies. The optimization process, prioritized under the process of merging and reorganization, is designed in accordance with the rules of economics and charasteristics of express delivery networks. Subsequently, a mathematical model of optimization of terminal networks integration is formulated and tested. According to our experiment results, the resulting cost can be efficiently obtained by choosing the smallest cost from the process outcome.

Original language	English
Title of host publication	Proceedings - 3rd IEEE International Conference on Robotic Computing, IRC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	435-436
Number of pages	2
ISBN (Electronic)	9781538692455
DOIs	https://doi.org/10.1109/IRC.2019.00087
Publication status	Published - 26 Mar 2019
Event	3rd IEEE International Conference on Robotic Computing, IRC 2019 - Naples, Italy Duration: 25 Feb 2019 → 27 Feb 2019 https://www.ieee-ras.org/component/rseventspro/event/1464-irc-2019-international-conference-on-robotic-computing

Conference

Conference	3rd IEEE International Conference on Robotic Computing, IRC 2019
Country/Territory	Italy
City	Naples
Period	25/02/19 → 27/02/19
Internet address	https://www.ieee-ras.org/component/rseventspro/event/1464-irc-2019-international-conference-on-robotic-computing

Funding

ACKNOWLEDGMENT The work of M. A. Rahman was supported in part by the Research Grant (RDU 180341, PGRS170330 and PGRS170333) from the Universiti Malaysia Pahang (UMP). REFERENCES

Keywords

Genetic Algorithms
Logistics Network
Nodes Integration

ASJC Scopus subject areas

Artificial Intelligence
Control and Optimization

Access to Document

10.1109/IRC.2019.00087

Cite this

Wei, W., Rahman, M. A., Kurniawan, I. F., Asyhari, A. T., Sadat, S. M. N., & Yao, L. (2019). Immune Genetic Algorithm Optimization and Integration of Logistics Network Terminal Resources. In Proceedings - 3rd IEEE International Conference on Robotic Computing, IRC 2019 (pp. 435-436). Article 8675650 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IRC.2019.00087

Immune Genetic Algorithm Optimization and Integration of Logistics Network Terminal Resources. / Wei, Wang; Rahman, Md Arafatur; Kurniawan, Ibnu Febry et al.
Proceedings - 3rd IEEE International Conference on Robotic Computing, IRC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 435-436 8675650.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Wei, W, Rahman, MA, Kurniawan, IF, Asyhari, AT, Sadat, SMN & Yao, L 2019, Immune Genetic Algorithm Optimization and Integration of Logistics Network Terminal Resources. in Proceedings - 3rd IEEE International Conference on Robotic Computing, IRC 2019., 8675650, Institute of Electrical and Electronics Engineers Inc., pp. 435-436, 3rd IEEE International Conference on Robotic Computing, IRC 2019, Naples, Italy, 25/02/19. https://doi.org/10.1109/IRC.2019.00087

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abstract = "This paper discusses an optimized method of terminal nodes integration that belongs to two merged and reorganized companies. The optimization process, prioritized under the process of merging and reorganization, is designed in accordance with the rules of economics and charasteristics of express delivery networks. Subsequently, a mathematical model of optimization of terminal networks integration is formulated and tested. According to our experiment results, the resulting cost can be efficiently obtained by choosing the smallest cost from the process outcome.",

keywords = "Genetic Algorithms, Logistics Network, Nodes Integration",

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AB - This paper discusses an optimized method of terminal nodes integration that belongs to two merged and reorganized companies. The optimization process, prioritized under the process of merging and reorganization, is designed in accordance with the rules of economics and charasteristics of express delivery networks. Subsequently, a mathematical model of optimization of terminal networks integration is formulated and tested. According to our experiment results, the resulting cost can be efficiently obtained by choosing the smallest cost from the process outcome.

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Immune Genetic Algorithm Optimization and Integration of Logistics Network Terminal Resources

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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