An Enhanced Bees Algorithm for Multi-Hole Drill Tool Path Optimization

Multi-hole drilling stands as one of the critical machining processes in various manufacturing sectors. Sequencing non-productive drill tool paths in multi-hole drilling poses a complex combinatorial challenge. Consequently, Researchers have relied on metaheuristic algorithms or their hybridized or modified versions to optimize drill tool paths. This paper utilizes a recently enhanced version of the Bees Algorithm (EBA), which is yet to be explored to optimize drill tool path sequencing. A well-established benchmark problem is used for optimization, and outcomes are compared with the basic version of the Bees Algorithm (BA) using different parameter sets. Further, it compares the outcomes with the other highly successful algorithms in the multi-hole drilling domain.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/ieem62345.2024.10857031
Primary Topic
Tunneling and Rock Mechanics
Type
article
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article

An Enhanced Bees Algorithm for Multi-Hole Drill Tool Path Optimization

S. P. Kadam, Vinod Lall, Om Prakash Yadav, A.P.S. Rathore et al.
Tunneling and Rock Mechanics
article

An Enhanced Bees Algorithm for Multi-Hole Drill Tool Path Optimization

S. P. Kadam, Vinod Lall, Om Prakash Yadav, A.P.S. Rathore, Vijay Rathod
article en

Abstract

Multi-hole drilling stands as one of the critical machining processes in various manufacturing sectors. Sequencing non-productive drill tool paths in multi-hole drilling poses a complex combinatorial challenge. Consequently, Researchers have relied on metaheuristic algorithms or their hybridized or modified versions to optimize drill tool paths. This paper utilizes a recently enhanced version of the Bees Algorithm (EBA), which is yet to be explored to optimize drill tool path sequencing. A well-established benchmark problem is used for optimization, and outcomes are compared with the basic version of the Bees Algorithm (BA) using different parameter sets. Further, it compares the outcomes with the other highly successful algorithms in the multi-hole drilling domain.

Minnesota State University Moorhead (US), Maharashtra State Board of Technical Education (IN), North Carolina Agricultural and Technical State University (US), Malaviya National Institute of Technology Jaipur (IN)
Openalex Percentile: Top 70%
Tunneling and Rock Mechanics
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An Enhanced Bees Algorithm for Multi-Hole Drill Tool Path Optimization — S. P. Kadam, Vinod Lall, et al. · (2024) | TGRS Research Map | TGRS