Suchergebnisse - expensive multi-objective (evolutionary OR evolution) algorithm*

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

Integrating surrogate evaluation model and asynchronous evolution in multi-objective evolutionary algorithm for expensive and different evaluation time

Autoren: Misaki Kaidan Tomohiro Harada Ruck Thawonmas

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :1833-1840

Schlagwörter: 2. Zero hunger, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A surrogate-assisted differential evolution algorithm with a dual-space-driven selection strategy for expensive optimization problems

Autoren: Hanqing Liu Zhigang Ren Chenlong He et al.

Quelle: Complex & Intelligent Systems, Vol 11, Iss 5, Pp 1-29 (2025)

Schlagwörter: Expensive optimization problem, Surrogate-assisted evolutionary algorithm, Differential evolution, Radial basis function, Selection strategy, 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/a1125be688484cbc9d263686bafc9279

A Review of the Evolution of Multi-Objective Evolutionary Algorithms.

Autoren: Hanne, Thomas Moghaddam, Mohammad Jahani

Quelle: Computers, Materials & Continua; 2025, Vol. 85 Issue 3, p4203-4236, 34p

Schlagwörter: MULTI-objective optimization, ALGORITHMS, PARALLEL algorithms, COMPUTATIONAL intelligence

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

A two-stage dominance-based surrogate-assisted evolution algorithm for high-dimensional expensive multi-objective optimization.

Autoren: Yu, Mengjiao Wang, Zheng Dai, Rui et al.

Quelle: Scientific Reports. 8/13/2023, Vol. 13 Issue 1, p1-17. 17p.

Schlagwörter: *EVOLUTIONARY algorithms, *ALGORITHMS, *SWARM intelligence

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: Expensive multi-objective evolutionary algorithm, Semi-supervised learning, Gaussian process model, 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/c618c4a505f145129b36fbdd641f7cfe

Mooring Optimization of Floating Offshore Wind Turbine With Genetic Algorithm.

Autoren: do V. Machado, Lucas Shadman, Milad Maali Amiri, Mojtaba et al.

Quelle: Journal of Offshore Mechanics & Arctic Engineering. Oct2025, Vol. 147 Issue 5, p1-15. 15p.

Schlagwörter: *BIOLOGICAL evolution, *OPTIMIZATION algorithms, *EVOLUTIONARY algorithms, *MULTI-objective optimization, *SEARCH algorithms

Complementary surrogate-assisted differential evolution algorithm for expensive multi-objective problems under a limited computational budget.

Autoren: Cai, Xiwen Ruan, Gan Yuan, Bo et al.

Quelle: Information Sciences. Jun2023, Vol. 632, p791-814. 24p.

Schlagwörter: *BUDGET, *ALGORITHMS, DIFFERENTIAL evolution, EVOLUTIONARY algorithms, BENCHMARK problems (Computer science), SWARM intelligence, SURROGATE mothers

An adaptive model switch-based surrogate-assisted evolutionary algorithm for noisy expensive multi-objective optimization

Autoren: Nan Zheng Handing Wang Bo Yuan

Quelle: Complex & Intelligent Systems. 8:4339-4356

Schlagwörter: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Advancements in multimodal differential evolution: a comprehensive review and future perspectives.

Autoren: Chauhan, Dikshit Shivani Jung, Donghwi et al.

Quelle: Artificial Intelligence Review; Nov2025, Vol. 58 Issue 11, p1-73, 73p

Schlagwörter: DIFFERENTIAL evolution, EVOLUTIONARY algorithms, MATHEMATICAL optimization, MULTI-objective optimization, MACHINE learning, PARAMETERIZATION

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

CoEGAN-BO: Synergistic Co-Evolution of GANs and Bayesian Optimization for High-Dimensional Expensive Many-Objective Problems.

Autoren: Tian, Jie Bian, Hongli Zhang, Yuyao et al.

Quelle: Mathematics (2227-7390). Nov2025, Vol. 13 Issue 21, p3444. 22p.

Schlagwörter: *GENERATIVE adversarial networks, *MULTI-objective optimization, *SURROGATE-based optimization

Expensive Highly Constrained Antenna Design Using Surrogate-Assisted Evolutionary Optimization.

Autoren: Hu, Caie Zeng, Sanyou Li, Changhe

Quelle: Electronics (2079-9292); Sep2025, Vol. 14 Issue 18, p3613, 12p

Schlagwörter: ANTENNA design, SURROGATE-based optimization, CONSTRAINED optimization, ARTIFICIAL intelligence, COMPUTATIONAL electromagnetics, EVOLUTIONARY algorithms, MULTI-objective optimization

Large-Scale Expensive Optimization with a Switching Strategy

Autoren: Mai Sun Chaoli Sun Xiaobo Li et al.

Quelle: Complex System Modeling and Simulation, Vol 2, Iss 3, Pp 253-263 (2022)

Schlagwörter: computationally expensive problems, Artificial intelligence, Hyperparameter Optimization, Scale (ratio), Robustness (evolution), Population, Surrogate Modeling, Metaheuristic, 02 engineering and technology, Biochemistry, Quantum mechanics, Gene, 01 natural sciences, 7. Clean energy, Learning with Noisy Labels in Machine Learning, Systems engineering, TA168, Sociology, Artificial Intelligence, Machine learning, 0103 physical sciences, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Swarm Intelligence Optimization Algorithms, Optimization problem, random grouping, Demography, Global Optimization, Geography, Physics, Optimization Applications, Mathematical optimization, QA75.5-76.95, Computer science, FOS: Sociology, surrogate models, Multi-objective optimization, Chemistry, Computational Theory and Mathematics, Electronic computers. Computer science, Computer Science, Physical Sciences, Benchmark (surveying), large-scale optimization problems, Multiobjective Optimization in Evolutionary Algorithms, Mathematics, Geodesy, Robust Learning

Zugangs-URL: https://doaj.org/article/f00366df24634e9fb5fa0bf063b8fbf5

Surrogate-Assisted Evolutionary Multi-Objective Antenna Design.

Autoren: Li, Zhiyuan Wu, Bin Wang, Ruiqi et al.

Quelle: Electronics (2079-9292); Oct2025, Vol. 14 Issue 19, p3862, 17p

Schlagwörter: MULTI-objective optimization, ANTENNA design, MATHEMATICAL programming, MATHEMATICAL optimization, DIRECTIONAL antennas, KNOWLEDGE transfer, GAUSSIAN processes, EVOLUTIONARY algorithms

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