Results 241 to 250 of about 609,298 (293)

A two-stage multi-objective evolutionary algorithm for large-scale multi-objective optimization

2022 IEEE Congress on Evolutionary Computation (CEC), 2022
In large-scale multi-objective problems, the traditional offspring generation operators is directionless and blind, which leads to the low searching capability in a huge search space.
Wei Liu, Li Chen, Xingxing Hao, Fei Xie, Haiyang Nan, Honghao Zhai, Jiyao Yang   +6 more
openaire   +2 more sources

A resource allocation-based multi-objective evolutionary algorithm for large-scale multi-objective optimization

Soft Computing, 2023
Wanting Yang, Jianchang Liu, Wei Zhang, Xinnan Zhang   +3 more
openaire   +2 more sources

Algorithm Selection for Large-Scale Multi-objective Optimization

International Conferences on Optimization and Learning, 2023
Mustafa Mısır, Xinye Cai
openaire   +2 more sources

A Sparsity-Guided Elitism Co-Evolutionary Framework for Sparse Large-Scale Multi-Objective Optimization

IEEE Congress on Evolutionary Computation, 2023
Sparse large-scale multi-objective optimization problems (LSMOPs) widely exist in real-world applications. Due to the characteristics of high-dimensional search space and sparse Pareto optimal solutions, most existing multi-objective evolutionary ...
Chengmin Wu, Ye Tian, Yajie Zhang, Hao Jiang, Xing-yi Zhang   +4 more
semanticscholar   +1 more source

Discrete Large-scale Multi-Objective Teaching-Learning-Based Optimization Algorithm

Proceedings of the 4th International Conference on Networking, Information Systems & Security, 2021
This paper presents a teaching-learning-based optimization algorithm for discrete large-scale multi-objective problems (DLM-TLBO). Unlike the previous variants, the learning strategy used by each individual and the acquired knowledge are defined based on its level.
Wafa Aouadj, Mohamed Rida Abdessemed, Rachid Seghir   +2 more
openaire   +1 more source

An Elite-Guided Evolutionary Algorithm for Large-Scale Multi-Objective Optimization

2023 IEEE Congress on Evolutionary Computation (CEC), 2023
When handling large-scale multi-objective optimization problems, a good diversity maintenance can effectively avoid the population trapping into premature convergence and enhance the utilization of the decision space.
Xiangzhou Gao, Shenmin Song, Jingyi Dong
openaire   +2 more sources

Evolutionary Large‐Scale Multi‐Objective Optimization and Applications

Xingyi Zhang, Ran Cheng, Ye Tian, Yaochu Jin   +3 more
openaire   +2 more sources

Sensitivity Study on Configuration of Large Scale Multi-Objective Optimization of a PMSM

European Conference on Cognitive Ergonomics, 2022
The feasible solution space of large-scale multi-objective optimization schemes is sensitive to the configuration of the optimization (population size, objectives, constraints, and design variables).
H. Sano, Taizo Senda, Yoshitaka Kida, Yusaku Suzuki, Takahi Yamada   +4 more
semanticscholar   +1 more source

A fast and efficient teaching-learning-based optimization algorithm for large-scale multi-objective optimization problems

International Journal of Computer Mathematics Computer Systems Theory, 2023
Multi-objective optimization problems with large-scale decision variables, known as LSMOPs, are characterized by their large-scale search space and multiple conflicting objectives to be optimized.
Wafa Aouadj, Rachid Seghir
semanticscholar   +1 more source

Autoencoder evolutionary algorithm for large-scale multi-objective optimization problem

International Journal of Machine Learning and Cybernetics
Ziyu Hu, Zhixing Xiao, Hao Sun, He Yang
openaire   +2 more sources