Localized Weighted Sum Method for Many-Objective Optimization

By Rui Wang, Zhongbao Zhou, Hisao Ishibuchi, Tianjun Liao, Zhang Tao. IEEE Transactions on Evolutionary Computation, 2018

310 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/27649ab3ca04ec01b58098893fb7dae38a063307

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

1. Rui Wang
2. Edmundas Kazimieras Zavadskas
3. Tao Zhang
4. Kaiwen Li

In Management Science and Operations Research

1. Edmundas Kazimieras Zavadskas
2. Dalia Streimikiene
3. Rui Wang
4. Tao Zhang
5. Indre Siksnelyte-Butkiene
6. Kaiwen Li
7. Abbas Mardani
8. Zenonas Turskis

In Statistics and Probability

1. Rui Wang
2. Edmundas Kazimieras Zavadskas
3. Dalia Streimikiene

Citations in the corpus

• Multi-Criteria Decision-Making (MCDM) for the Assessment of Renewable Energy Technologies in a Household: A Review (2020, methodology): “Although the method is very primitive, it could be an independent method or a component of other methods [49].”
• Deep Reinforcement Learning for Multiobjective Optimization (2019, methodology): “Certainly, other scalarizing methods can also be applied, for example, the Chebyshev and the penalty-based boundary intersection (PBI) method [31], [32].”