An efficient multiobjective differential evolution algorithm for engineering design
By Wenyin Gong, Zhihua Cai, Li Zhu. 2009
94 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Civil and Structural Engineering, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/0841044f92a047ae4b6b6f5dce1b9049b0006505
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
- Xingshi He
- Mehmet Karamanoglu
- Xin-She Yang
- Arpan Kumar Kar
- Zhongwei Ma
- Yong Wang
- Seyedali Mirjalili
- Seyed Mohammad Mirjalili
In Civil and Structural Engineering
- Xin-She Yang
- Xingshi He
- Mehmet Karamanoglu
- Zhongwei Ma
- Yong Wang
- N. Rajasekar
- J. Prasanth Ram
- Yujun Zheng
In Computational Theory and Mathematics
- Xingshi He
- Mehmet Karamanoglu
- Xin-She Yang
- Zhongwei Ma
- Yong Wang
- Arpan Kumar Kar
- Seyedali Mirjalili
- Seyed Mohammad Mirjalili
Citations in the corpus
- Evolutionary Constrained Multiobjective Optimization: Test Suite Construction and Performance Comparisons (2019, background): “1) It is common that real-world CMOPs have very small feasible regions and complex nonlinear constraints [22], [23].”
- Flower pollination algorithm: A novel approach for multiobjective optimization (2014, methodology): “In the rest of this paper, MOFPA will be used to solve two design case studies: design of a beam and a disc brake (Osyczka and Kundu 1995; Ray and Liew 2002; Gong et al. 2009).”