Computational Sustainability Optimization is a computational methodology that integrates sustainability criteria into optimization models and algorithms for designing vehicles, distinguishing itself by systematically balancing environmental, economic, and social performance metrics within the engineering design process.
20
Publications
2.2K
Citations
87
Authors
48
Institutions
Publications per year
2017–2026
15
Parents
Publications
20
Carla P. Gomes, Thomas G. Dietterich, Christopher B. Barrett et al. · Communications of the ACM · 2019 · 120 citations · Full text
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Authors
87
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1–5 of 87
Institutions
48
Oregon State University
Corvallis, United States
2 h-index
6 publications
620 citations
Howard University
Washington, United States
2 h-index
3 publications
146 citations
California Institute of Technology
Pasadena, United States
2 h-index
2 publications
150 citations
Université Laval
Québec, Canada
2 h-index
3 publications
2.3K citations
Cornell University
Ithaca, United States
2 h-index
15 publications
1.4K citations
University of Massachusetts Amherst
Amherst Center, United States
2 h-index
4 publications
162 citations
United States Geological Survey
Reston, United States
2 h-index
2 publications
150 citations
Dayeh University
Dacun, Taiwan
1 h-index
1 publications
17 citations
1–8 of 48
Venues
- Journal of Cleaner Production
2 publications · 427 citations
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- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 2 publications · 50 citations
2
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- International Journal of Information Management
2 publications · 1.2K citations
2
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- Communications of the ACM
1 publications · 120 citations
1
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- Transportation Research Part D Transport and Environment
1 publications · 26 citations
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