Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization
By Siwei Jiang, Yew-Soon Ong, Jie Zhang, Liang Feng. IEEE Transactions on Cybernetics, 2014
306 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/ccc07a40a5fa96700fc683c7b41056530d8d6387
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
- Abhishek Gupta
- Yew-Soon Ong
- Liang Feng
- Kay Chen Tan
- Sébastien Le Digabel
- Dominique Cartier
- Jean Bigeon
- Charles Audet
In Computational Theory and Mathematics
- Abhishek Gupta
- Yew-Soon Ong
- Liang Feng
- Kay Chen Tan
- Sébastien Le Digabel
- Dominique Cartier
- Jean Bigeon
- Charles Audet
In Management Science and Operations Research
Citations in the corpus
- Multiobjective Multifactorial Optimization in Evolutionary Multitasking (2017, methodology): “to compare the convergence characteristics of the MO-MFEA and NSGA-II, we make use of the normalized hypervolume (HV) metric [45], as described in Fig.”
- Insights on Transfer Optimization: Because Experience is the Best Teacher (2018, unknown): “tors such as the hypervolume metric [26].”
- Performance indicators in multiobjective optimization (2018, methodology): “In [13], an empirical study focuses on the correlations between different indicators with their computation time on concave and convex Pareto fronts.”