An Elevator Kinematics Optimization Algorithm based on a Large Neighborhood Search for Optimizing Simulated Industrial Problems-Reference-Cited by-同舟云学术

An Elevator Kinematics Optimization Algorithm based on a Large Neighborhood Search for Optimizing Simulated Industrial Problems

Published:2022-01-12 Issue: Volume: Page:
ISSN:
Container-title:2022 The 9th International Conference on Industrial Engineering and Applications (Europe)
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Author:

Luangpaiboon Pongchanun¹,Aungkulanon Pasura²,Ruekkasaem Lakkana³,Montemanni Roberto⁴

Affiliation:

1. Thammasat University Research Unit in Industrial Statistics and Operational Research, Thammasat School of Engineering,Thammasat University, Thailand

2. Department of Materials Handling and Logistics Engineering, King Mongkut's University of Technology North Bangkok, Thailand

3. Faculty of Industrial Technology, Phranakorn Rajabhat University, Thailand

4. Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3523132.3523147

Reference23 articles.

1. Kaur and Y. Kumar 2021. A new metaheuristic algorithm based on water wave optimization for data clustering. Evolutionary Intelligence. https://doi.org/10.1007/s12065-020-00562-x 10.1007/s12065-020-00562-x

2. Kaur and Y. Kumar 2021. A new metaheuristic algorithm based on water wave optimization for data clustering. Evolutionary Intelligence. https://doi.org/10.1007/s12065-020-00562-x

3. Multi-objective periodic maintenance scheduling and Optimization via krill herd algorithm;Aungkulanon P.;Songklanakarin Journal of Science and Technology,2021

4. Steepest ant sense algorithm for parameter optimisation of multi-response processes based on taguchi design

5. Swarm Intelligence: A Review of Algorithms

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