no code implementations • 3 Feb 2024 • Wenjian Luo, Peilan Xu, Shengxiang Yang, Yuhui Shi
The competition focuses on Multiparty Multiobjective Optimization Problems (MPMOPs), where multiple decision makers have conflicting objectives, as seen in applications like UAV path planning.
1 code implementation • 24 Aug 2023 • Mai Peng, Zeneng She, Delaram Yazdani, Danial Yazdani, Wenjian Luo, Changhe Li, Juergen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Yaochu Jin, Xin Yao
In this paper, to assist researchers in performing experiments and comparing their algorithms against several EDOAs, we develop an open-source MATLAB platform for EDOAs, called Evolutionary Dynamic Optimization LABoratory (EDOLAB).
1 code implementation • 27 Jul 2022 • Zeneng She, Wenjian Luo, Xin Lin, Yatong Chang, Yuhui Shi
In the field of evolutionary multiobjective optimization, the decision maker (DM) concerns conflicting objectives.
1 code implementation • 11 Jun 2022 • Wenjian Luo, Hongwei Zhang, Linghao Kong, Zhijian Chen, Ke Tang
The security issues in DNNs, such as adversarial examples, have attracted much attention.
no code implementations • 12 May 2022 • Zoe L. Jiang, Jiajing Gu, Hongxiao Wang, Yulin Wu, Junbin Fang, Siu-Ming Yiu, Wenjian Luo, Xuan Wang
So machine learning tasks need to be spread across multiple servers, turning the centralized machine learning into a distributed one.
no code implementations • 3 Jan 2022 • Wenjian Luo, Xin Lin, Changhe Li, Shengxiang Yang, Yuhui Shi
This is very helpful for the decision makers, especially when facing changing environments.
1 code implementation • 11 Jun 2021 • Danial Yazdani, Michalis Mavrovouniotis, Changhe Li, Wenjian Luo, Mohammad Nabi Omidvar, Amir H. Gandomi, Trung Thanh Nguyen, Juergen Branke, XiaoDong Li, Shengxiang Yang, Xin Yao
This document introduces the Generalized Moving Peaks Benchmark (GMPB), a tool for generating continuous dynamic optimization problem instances that is used for the CEC 2024 Competition on Dynamic Optimization.
1 code implementation • 6 Aug 2019 • Wenjian Luo, Chenwang Wu, Nan Zhou, Li Ni
Unfortunately, as the model is nonlinear in most cases, the addition of perturbations in the gradient direction does not necessarily increase loss.
1 code implementation • 26 Feb 2019 • Yamin Hu, Wenjian Luo, Junteng Wang
Although some generating algorithms have been proposed to generate SAT formulas with predefined solutions, community structures of SAT formulas are not considered.