Optimization

Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization
Constrained multiobjective optimization problems (CMOPs) widely exist in real-world applications, and they are challenging for …
Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
Cite DOI
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
Despite the remarkable successes of convolutional neural networks (CNNs) in computer vision, it is time-consuming and error-prone to …
Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo
Cite DOI
Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite
Dynamic changes are an important and inescapable aspect of many real-world optimization problems. Designing algorithms to find and …
Danial Yazdani, Mohammad Nabi Omidvar, Ran Cheng, Jürgen Branke, Trung Thanh Nguyen, Xin Yao
Cite DOI
Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers
Ratio error (RE) estimation of the voltage transformers (VTs) plays an important role in modern power delivery systems. Existing RE …
Cheng He, Ran Cheng, Chuanji Zhang, Ye Tian, Qin Chen, Xin Yao
Cite DOI
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling
In evolutionary multiobjective optimization, the Pareto front (PF) is approximated by using a set of representative candidate solutions …
Ye Tian, Xingyi Zhang, Ran Cheng, Cheng He, Yaochu Jin
Cite DOI
Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO
It has been widely recognized that evolutionary computation is one of the most effective techniques for solving complex optimization …
Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin
Cite DOI
A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization
Many real-world optimization problems are challenging because the evaluation of solutions is computationally expensive. As a result, …
Kanzhen Wan, Cheng He, Auraham Camacho, Ke Shang, Ran Cheng, Hisao Ishibuchi
Cite DOI
Solving Incremental Optimization Problems via Cooperative Coevolution
Engineering designs can involve multiple stages, where at each stage, the design models are incrementally modified and optimized. In …
Ran Cheng, Mohammad Nabi Omidvar, Amir H. Gandomi, Bernhard Sendhoff, Stefan Menzel, Xin Yao
Cite DOI
Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion
Surrogate-assisted evolutionary algorithms have played an important role in expensive optimization where a small number of …
Cheng He, Ran Cheng, Yaochu Jin, Xin Yao
Cite DOI
A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization
The current literature of evolutionary many-objective optimization is merely focused on the scalability to the number of objectives, …
Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin
Cite DOI