Suchergebnisse - Expensive multi-objective evolutionary algorithm*

A Large Language Model-assisted Evolutionary Algorithm for Expensive Constrained Multi-objective Optimization

Autoren: Siyu Chen Haoran Tang Jinyuan Zhang et al.

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :347-350

A Two-Stage Hybrid Search Evolutionary Algorithm for Expensive Constrained Multi-Objective Optimization Problems

Autoren: Xu Cheng Cong Zhu Yongkuan Yang

Quelle: 2025 7th International Conference on Data-driven Optimization of Complex Systems (DOCS). :289-294

Grouping via sensitivity analysis evolutionary algorithm for high-dimensional expensive multi-objective optimization

Autoren: Weichao Chen Ziyang Li Jiong Yu et al.

Quelle: Complex & Intelligent Systems, Vol 12, Iss 2, Pp 1-17 (2025)

Schlagwörter: Multi-objective optimization, High-dimensional, Expensive optimization, Variable grouping, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2199-4536; https://doaj.org/toc/2198-6053

Zugangs-URL: https://doaj.org/article/ee06290fe3b64ecda382d1a05c9bb569

A semi-supervised learning technique assisted multi-objective evolutionary algorithm for computationally expensive problems

Autoren: Zijian Jiang Chaoli Sun Xiaotong Liu et al.

Quelle: Complex & Intelligent Systems, Vol 11, Iss 2, Pp 1-11 (2025)

Schlagwörter: Gaussian process model, Electronic computers. Computer science, Semi-supervised learning, QA75.5-76.95, Information technology, T58.5-58.64, Expensive multi-objective evolutionary algorithm

Zugangs-URL: https://doaj.org/article/c618c4a505f145129b36fbdd641f7cfe

An Expensive Multi-Objective Evolutionary Algorithm with RBF-IDW Surrogate Model

Autoren: Yuhao Liu Hongyi Fang Fei Li

Quelle: 2024 International Conference on New Trends in Computational Intelligence (NTCI). :86-90

Expensive Constrained Multi-objective Evolutionary Algorithm with Pareto Set Learning

Autoren: Ruitao Mai Yifeng Qiu Wenji Li et al.

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :351-354

A Multi-Task Optimization-based Heterogeneous Expensive Multi-Objective Evolutionary Algorithm

Autoren: Chunlin He Yong Zhang

Quelle: 2024 3rd International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC). :275-279

A Relation-and-Regression-assisted Evolutionary Algorithm for Expensive Constrained Multi-objective Optimization

Autoren: Siyu Chen Jinyuan Zhang

Quelle: 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS). :516-523

A Meta-Learning - Based Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization Problems

Autoren: Liqun Wen Hongfeng Wang

Quelle: 2024 IEEE Congress on Evolutionary Computation (CEC). :1-8

A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization

Autoren: Xiangyu Wang Xilu Wang Yaochu Jin et al.

Quelle: 2024 IEEE Congress on Evolutionary Computation (CEC). :1-8

Adaptive Sensitive Variable Extraction Based Evolutionary Algorithm for High-Dimensional Expensive Multi-objective Optimization

Autoren: Yijiao Xu Shengxin Zhang Jie Lin et al.

Quelle: Lecture Notes in Networks and Systems ISBN: 9783031948916

Bi-indicator driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems

Autoren: Wenxin Wang Huachao Dong Peng Wang et al.

Quelle: Complex & Intelligent Systems, Vol 9, Iss 4, Pp 4673-4704 (2023)

Schlagwörter: One-by-one selection, Radial basis function, Electronic computers. Computer science, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, Information technology, 02 engineering and technology, Pareto-based bi-indicator, Expensive multi-objective optimization, T58.5-58.64, 01 natural sciences

Zugangs-URL: https://doaj.org/article/26b4f3bfb6b84b78b96ce2026ddd0846

A data-driven multi-objective optimization algorithm for computationally expensive electromagnetic designs.

Autoren: Li, Yiying Fei, Zhangjun Yang, Shiyou

Quelle: International Journal of Applied Electromagnetics & Mechanics. Jul2025, Vol. 78 Issue 1-3, p223-227. 5p.

Schlagwörter: *MULTI-objective optimization, *EVOLUTIONARY algorithms, *PERFORMANCE-based design, *ARTIFICIAL neural networks, *OPTIMIZATION algorithms, *COMPUTATIONAL electromagnetics

A population-oriented hybrid search surrogate-assisted evolutionary algorithm for expensive constrained optimization multi-objective problems with small feasible regions

Autoren: Cong Zhu Yongkuan Yang Xiangsong Kong et al.

Quelle: Swarm and Evolutionary Computation. 99:102161

Surrogate-assisted evolutionary algorithm with stage-adaptive infill sampling criterion for expensive multimodal multi-objective optimization

Autoren: Yufei Yang Changsheng Zhang Yi Liu et al.

Quelle: Swarm and Evolutionary Computation. 98:102068

An expensive multi-objective evolutionary algorithm based on grid and relation learning

Autoren: Yan Cheng Jiaqi Wang Gongcheng Yu et al.

Quelle: Applied Soft Computing. :114135

RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization

Autoren: Yongfan Lu Bingdong Li Hong Qian et al.

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference. :722-730

A Generalized Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization

Autoren: Kamrul Hasan Rahi Hemant Kumar Singh Tapabrata Ray

Quelle: 2023 IEEE Congress on Evolutionary Computation (CEC). :1-8

Expensive constrained multi-objective optimization via adaptive surrogate-assisted dense weight multi-objective evolutionary algorithm

Autoren: Jiansheng Liu Haoran Hu Zhiyong Liu et al.

Quelle: Swarm and Evolutionary Computation. 97:102033

Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization

Autoren: Shuwei Zhu Yimo Zhang Wei Fang et al.

Quelle: Swarm and Evolutionary Computation. 97:101978