Collection
Mathematical Modeling and Problem Solving (MPS)
- Submission status
- Closed
The rapidly advancing fields of machine learning and mathematical modeling, greatly enhanced by the recent growth in artificial intelligence, are the focus of this special issue. This issue compiles extensively revised and improved versions of the top papers from the workshop on Mathematical Modeling and Problem Solving at PDPTA'23, the 29th International Conference on Parallel and Distributed Processing Techniques and Applications. Covering fundamental research in matrix operations and heuristic searches to real-world applications in computer vision and drug discovery, the issue underscores the crucial role of supercomputing and parallel and distributed computing infrastructure in research. Featuring nine key studies, this issue pushes forward computational technologies in mathematical modeling, refines techniques for analyzing images and time-series data, and introduces new methods in pharmaceutical and materials science, making significant contributions to these areas.
Final decisions on all papers are made by the Editor in Chief
Editors
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Masahito Ohue
Tokyo Institute of Technology, Japan
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Kotoyu Sasayama
Mitsubishi Electric Building Solutions Co., Japan
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Masami Takata
Nara Women's University, Japan
Articles (7 in this collection)
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Large neighborhood local search method with MIP techniques for large-scale machining scheduling with many constraints
Authors (first, second and last of 4)
- Jin Matsuzaki
- Kazutoshi Sakakibara
- Shinya Watanabe
- Content type: OriginalPaper
- Open Access
- Published: 10 February 2024
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Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors
Authors
- Rui Zhong
- Enzhi Zhang
- Masaharu Munetomo
- Content type: OriginalPaper
- Published: 09 February 2024
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Improvement of recognition rate using data augmentation with blurred images
Authors (first, second and last of 4)
- Shiori Ishikawa
- Miho Chiyonobu
- Masami Takata
- Content type: OriginalPaper
- Published: 07 February 2024
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Stock recommendation methods for stability
Authors
- Masami Takata
- Natsu Kidoguchi
- Miho Chiyonobu
- Content type: OriginalPaper
- Published: 07 February 2024
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Antibody complementarity-determining region design using AlphaFold2 and DDG predictor
Authors
- Takafumi Ueki
- Masahito Ohue
- Content type: OriginalPaper
- Open Access
- Published: 05 February 2024
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Singular value decomposition for complex matrices using two-sided Jacobi method
Authors (first, second and last of 6)
- Miho Chiyonobu
- Takahiro Miyamae
- Yoshimasa Nakamura
- Content type: OriginalPaper
- Published: 01 February 2024
- Pages: 11719 - 11740