Yasunori Nihei

Osaka Prefecture University

Papers

1

Total Citations

4

H-Index

1

About

Yasunori Nihei is a researcher specializing in maritime navigation and optimization algorithms, with a particular focus on multi-objective route planning for vessels. His most-cited work, "Optimal Route Search Based on Multi-objective Genetic Algorithm for Maritime Navigation Vessels" (2020, 4 citations), introduces a novel approach to solving complex navigation challenges by balancing competing objectives such as fuel efficiency, safety, and time constraints. This paper demonstrates his ability to apply evolutionary computation techniques—specifically genetic algorithms—to real-world maritime problems, offering a practical tool for reducing operational costs and environmental impact in shipping. While his citation count is modest, his contribution lies in bridging the gap between theoretical optimization and applied maritime logistics, a niche area with significant potential for growth as the industry moves toward autonomous and eco-friendly navigation. Nihei’s work is particularly notable for its focus on multi-objective decision-making, a critical aspect of modern vessel routing that often involves trade-offs between economic and safety priorities. His research provides a foundation for future studies in intelligent maritime systems, making him a valuable contributor to the field of computational navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Optimal Route Search Based on Multi-objective Genetic Algorithm for Maritime Navigation Vessels
4 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Osaka Prefecture University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago