A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization

By Aimin Zhou, Yaochu Jin, Qingfu Zhang. IEEE Transactions on Cybernetics, 2014

486 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/d960469f864e0647da58c5c8010dfa22fc4f6d9a

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. Gary G. Yen
2. Min Jiang
3. Wenzhen Huang
4. Zhongqiang Huang
5. Liming Qiu
6. Shengxiang Yang
7. Shouyong Jiang
8. Yanan Sun

In Computational Theory and Mathematics

1. Gary G. Yen
2. Shouyong Jiang
3. Min Jiang
4. Wenzhen Huang
5. Zhongqiang Huang
6. Liming Qiu
7. Shengxiang Yang
8. Yanan Sun

Citations in the corpus

• A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization (2017, methodology): “teristics, and studies along this direction can be referred to [22], [28], [32], [33], [36], [47], [54], and [55].”
• Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms (2016, methodology): “[33] presented an algorithm, called population prediction strategy, to predict a whole population instead of predicting some isolated points.”