Comparative Study of Particle Representations on the Performance of MOPSO Algorithm in Solving Capacitated Lot-Sizing Problem-Reference-Cited by-同舟云学术

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Comparative Study of Particle Representations on the Performance of MOPSO Algorithm in Solving Capacitated Lot-Sizing Problem

Published:2023 Issue: Volume: Page:260-270
ISSN:2363-698X
Container-title:Applied Condition Monitoring
language:
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Author:

Ben Ammar Hanen,Ben Yahia Wafa,Ayadi Omar,Masmoudi Faouzi

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-34190-8_29

Reference11 articles.

1. Ben Ammar, H., Ayadi, O., Masmoudi, F.: An effective multi-objective particle swarm optimization for the multi-item capacitated lot-sizing problem with set-up times and backlogging. Eng. Optim. 52(7), 1198–1224 (2020). https://doi.org/10.1080/0305215X.2019.1636978

2. Ben Ammar, H., Ben Yahia, W., Ayadi, O., Masmoudi, F.: Design of efficient multiobjective binary PSO algorithms for solving multi-item capacitated lot-sizing problem. Int. J. Intell. Syst. 37(2), 1723–1750 (2021). https://doi.org/10.1002/int.22693

3. Ben Yahia, W., Ayadi, O., Masmoudi, F.: A fuzzy-based negotiation approach for collaborative planning in manufacturing supply chains. J. Intell. Manuf. 28(8), 1987–2006 (2015). https://doi.org/10.1007/s10845-015-1085-x

4. Chachan, H.A., Hassan Ali, F.: Using non-dominated sorting particle swarm optimization algorithm II for bi-objective flow shop scheduling problems. Iraqi J. Sci. 62(1), 275–288 (2021). https://doi.org/10.24996/ijs.2021.62.1.26

5. Chen, C.F., Wu, M.C., Lin, K.H.: Effect of solution representations on Tabu search in scheduling applications. Comput. Oper. Res. 40(12), 2817–2825 (2013). https://doi.org/10.1016/j.cor.2013.06.003

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