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Multiple Objective Decision Making — Methods and Applications
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“Pareto optimization has emerged as the preferred method for MPO, as it allows for the identification of trade-offs between objectives, leading to the discovery of non-dominant solutions (101).”
From Artificial Intelligence for Drug Discovery: Are We There Yet? (2024) · cites this paper as [101]
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Metadata
- Authors
- Hwang, C.-L., & Masud, A. S. M.
- Affiliations
- New Mexico State University (US)
- Venue
- Lecture Notes in Economics and Mathematical Systems
- Publisher
- Springer Berlin Heidelberg
- Published
- 1979
- ISSN
- 0075-8442 (ISSN-L)
- OpenAlex
- W4233757421
- Cited by
- 1,186
- References
- 0
- Citations by year
- 2026: 16 · 2025: 31 · 2024: 30 · 2023: 41 · 2022: 33 · 2021: 50 · 2020: 32 · 2019: 45 · 2018: 42 · 2017: 52 · 2016: 51 · 2015: 61 · 2014: 45 · 2013: 35 · 2012: 35
- FWCI
- 11.74
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in economics and mathematical systems (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimization and Mathematical Programming
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Advanced Multi-Objective Optimization Algorithms
- Keywords
- multi-objective decision making, computational methods, multi-objective optimization
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