Computer science

A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part B
This article presents the second Part of a two-Part survey that reviews evolutionary dynamic optimization (EDO) for single-objective …
Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao
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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
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Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization
Due to the curse of dimensionality, two main issues remain challenging for applying evolutionary algorithms (EAs) to large-scale …
Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang
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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
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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
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An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility
During the past two decades, a variety of multiobjective evolutionary algorithms (MOEAs) have been proposed in the literature. As …
Ye Tian, Ran Cheng, Xingyi Zhang, Fan Cheng, Yaochu Jin
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Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems
The effectiveness of evolutionary algorithms have been verified on multi-objective optimization, and a large number of multi-objective …
Ye Tian, Xiaoshu Xiang, Xingyi Zhang, Ran Cheng, Yaochu Jin
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Empirical Analysis of a Tree-based Efficient Non-dominated Sorting Approach for Many-objective Optimization
Non-dominated sorting has been widely adopted in evolutionary multi-objective optimization. Many approaches to non-dominated sorting …
Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin
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