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20172023
most citedBenchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments

44 citations · 56 across the 11 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.NE2022

Evolutionary Multiparty Distance Minimization

Zeneng She, Wenjian Luo, Xin Lin +2

In the field of evolutionary multiobjective optimization, the decision maker (DM) concerns conflicting objectives. In the real-world applications, there usually exist more than one…

cs.CR2022

Defending Adversarial Examples by Negative Correlation Ensemble

Wenjian Luo, Hongwei Zhang, Linghao Kong +2

The security issues in DNNs, such as adversarial examples, have attracted much attention. Adversarial examples refer to the examples which are capable to induce the DNNs return com…

cs.CR2022

Privacy-Preserving Distributed Machine Learning Made Faster

Zoe L. Jiang, Jiajing Gu, Hongxiao Wang +5

With the development of machine learning, it is difficult for a single server to process all the data. So machine learning tasks need to be spread across multiple servers, turning…

cs.SI2022

Spatial-Aware Local Community Detection Guided by Dominance Relation

Li Ni, Hefei Xu, Yiwen Zhang +1

The problem of finding the spatial-aware community for a given node has been defined and investigated in geo-social networks. However, existing studies suffer from two limitations:…

cs.NE2022★ 44 cited

Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments

Wenjian Luo, Xin Lin, Changhe Li +2

Dynamic and multimodal features are two important properties and widely existed in many real-world optimization problems. The former illustrates that the objectives and/or constrai…