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Constructive-destructive neighbor search drives artificial bee colony algorithm for variable speed green hybrid
Danying Hu1,2, Yali Wu3,4, Lipeng Qiu5
1Department of Information and Control Engineering, Xi'an University of Technology, Xi'an, 710048, China.
Researchers developed a new algorithm for the variable speed hybrid flowshop scheduling problem. This method optimizes makespan and energy consumption, outperforming existing approaches in most test cases.
Area of Science:
- Operations Research
- Artificial Intelligence
- Manufacturing Systems
Background:
- The hybrid flowshop scheduling problem (HFSP) is a complex, NP-hard problem with significant research interest.
- Real-world manufacturing involves machines operating at variable speeds, adding complexity to scheduling problems.
Purpose of the Study:
- To address the variable speed hybrid flowshop scheduling problem (VSHFSP).
- To minimize both makespan and total energy consumption in green manufacturing environments.
Main Methods:
- Proposed a novel speed optimization strategy for encoding and decoding.
- Designed a constructive-destructive search driven artificial bee colony (CDSABC) algorithm.
- Integrated specific operators: Technique for Order Preferences by Similarity to Ideal Solution (TOPSIS), binary tournament selection, and global updates.
Main Results:
- The CDSABC algorithm demonstrated superior performance across various metrics (best, worst, average, standard deviation of IGD index).
- Outperformed other algorithms in 80% of the evaluated test cases.
- Effectively balances makespan reduction and energy efficiency.
Conclusions:
- The developed CDSABC algorithm is effective for solving the VSHFSP.
- The approach provides a viable solution for green manufacturing by optimizing energy consumption and production time.
- The method offers a robust framework for complex scheduling challenges.
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