Omni-optimizer: A generic evolutionary algorithm for single and multi-objective optimization

By Kalyanmoy Deb, Santosh Tiwari. European Journal of Operational Research, 2008

395 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/359f19dec67b4b50061fc914370cb88bc3954896

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yaochu Jin
2. Xing-yi Zhang
3. Ye Tian
4. Ran Cheng
5. Kay Chen Tan
6. Cheng He
7. Langchun Si
8. Handing Wang

In Computational Theory and Mathematics

1. Yaochu Jin
2. Xing-yi Zhang
3. Ye Tian
4. Ran Cheng
5. Kay Chen Tan
6. Cheng He
7. Langchun Si
8. Handing Wang

Citations in the corpus

• Evolutionary Large-Scale Multi-Objective Optimization: A Survey (2021, background): “Although some MOEAs have solved multimodal multi-objective optimization problems with a few decision variables by preserving the population diversity in the decision space [36, 107, 200], they are difficult to be applied to multimodal LSMOPs.”
• Optimum dimension of geometric parameters of solar chimney power plants – A multi-objective optimization approach (2014, background): “(2006) and Deb and Tiwari (2008), more details are provided about genetic algorithms.”