Energy utilized hybrid flowshop scheduling using Multi-Objective Tiki Taka Algorithm (MOTTA)
This paper presents the Multi-Objective Tiki Taka Algorithm (MOTTA), a novel optimization technique for hybrid flow shop scheduling (HFS) problems emphasizing energy efficiency and makespan minimization. The algorithm is compared against five state-of-the-art algorithms MOGWO, MOAOS, MOGOA, MAOA, an...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
IEEE
2025
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/45779/1/Energy_Utilized_Hybrid_Flowshop_Scheduling_using_Multi-Objective_Tiki_Taka_Algorithm_MOTTA.pdf https://umpir.ump.edu.my/id/eprint/45779/ https://doi.org/10.1109/ISCI65687.2025.11167020 |
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| Summary: | This paper presents the Multi-Objective Tiki Taka Algorithm (MOTTA), a novel optimization technique for hybrid flow shop scheduling (HFS) problems emphasizing energy efficiency and makespan minimization. The algorithm is compared against five state-of-the-art algorithms MOGWO, MOAOS, MOGOA, MAOA, and MALO-using 12 Carlier Neron benchmark problems. Taguchi’s method is employed to fine-tune critical coefficients (c1,c2,c3 and problose) enhancing MOTTA’s performance. The proposed algorithm’s validity is further demonstrated through a case study, showcasing its applicability in real-world scenarios. Results indicate that MOTTA achieves superior performance in balancing trade-offs between energy utilization and makespan compared to other algorithms. The best scheduling result obtain for makespan is 2672 sec with energy consumption of 41837.09 kWatt−min. |
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