The weighted sum method for multi-objective optimization: new insights
By R. Marler, Jasbir S. Arora. 2010
1,765 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/bfb12e7725862293c86aa3acd657263942b334d2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Rui Wang
- Hisao Ishibuchi
- Mengchu Zhou
- Edmundas Kazimieras Zavadskas
- Zhang Tao
- Tianjun Liao
- Haibin Zhu
- Zhongbao Zhou
In Control and Systems Engineering
- Mengchu Zhou
- Edmundas Kazimieras Zavadskas
- Dalia Streimikiene
- Indre Siksnelyte-Butkiene
- Haibin Zhu
- Zhongbao Zhou
- Rob Alkins
- Abbas Mardani
In Management Science and Operations Research
- Edmundas Kazimieras Zavadskas
- Dalia Streimikiene
- Hisao Ishibuchi
- Rui Wang
- Mengchu Zhou
- Indre Siksnelyte-Butkiene
- Zhang Tao
- Haibin Zhu
Citations in the corpus
- Group Role Assignment via a Kuhn–Munkres Algorithm-Based Solution (2012, methodology): “Then, we use a typical weighted sum method [16] by normalizing the three factors.”
- Localized Weighted Sum Method for Many-Objective Optimization (2018, methodology): “As a common concept in multiobjective optimization, the WS method has been discussed prominently in [32], [51], and [52] since its introduction by Zadeh [53].”
- Multi-Criteria Decision-Making (MCDM) for the Assessment of Renewable Energy Technologies in a Household: A Review (2020, background): “WSM • Very simple computation process • Suitable for managing single-dimension problems • There is no possibility to integrate multiple preferences • Evaluates only one dimension [48,49,55,56]”