Suchergebnisse - (dynamic OR dynamika) constrained multi-objective evolution algorithm (dcmoea)*

A feasible-ratio control technique for constrained optimization.

Autoren: Jiao, Ruwang Zeng, Sanyou Li, Changhe

Quelle: Information Sciences. Oct2019, Vol. 502, p201-217. 17p.

Schlagwörter: *PROBLEM solving, CONSTRAINED optimization, EVOLUTIONARY algorithms, DIFFERENTIAL evolution, TECHNOLOGY convergence

On Formulating and Designing Antenna Arrays by Evolutionary Algorithms.

Autoren: Xu, Qinghui Zeng, Sanyou Zhao, Fei et al.

Quelle: IEEE Transactions on Antennas & Propagation; Feb2021, Vol. 69 Issue 2, p1118-1129, 12p

Schlagwörter: ANTENNA arrays, ANTENNA design, EVOLUTIONARY algorithms, CONSTRAINED optimization, EVOLUTIONARY computation, HEURISTIC algorithms

A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems.

Autoren: Chen, Qingda Ding, Jinliang Yang, Shengxiang et al.

Quelle: IEEE Transactions on Evolutionary Computation; Aug2020, Vol. 24 Issue 4, p792-806, 15p

Schlagwörter: CONSTRAINED optimization, MATE selection, MATHEMATICAL optimization, ALGORITHMS, LINEAR programming, DIFFERENTIAL evolution, EVOLUTIONARY algorithms

Antenna design using dynamic multiobjective evolutionary algorithm.

Autoren: Ruwang Jiao Yongzhi Sun Jianqing Sun et al.

Quelle: IET Microwaves, Antennas & Propagation (Wiley-Blackwell); 2018, Vol. 12 Issue 13, p2065-2072, 8p

Schlagwörter: ANTENNA design, MULTIPLE criteria decision making, EVOLUTIONARY algorithms, CONSTRAINED optimization, ROBUST statistics

Linear sparse arrays designed by dynamic constrained multi-objective evolutionary algorithm.

Autoren: Dong, Wei Zeng, Sanyou Wu, Yong et al.

Quelle: 2014 IEEE Congress on Evolutionary Computation (CEC); 2014, p3067-3072, 6p

Combining Dynamic Constrained Many-Objective Optimization with DE to Solve Constrained Optimization Problems.

Autoren: Li, Xi Zeng, Sanyou Zhang, Liting et al.

Quelle: Computational Intelligence & Intelligent Systems: 7th International Symposium, ISICA 2015, Guangzhou, China, November 21-22, 2015, Revised Selected Papers; 2016, p64-73, 10p

A federated GAN network-based evolutionary constrained optimization approach to integrated coal mine energy system.

Autoren: Hu, Na Zhang, Chi Rong, Miao et al.

Quelle: Information Sciences. Sep2024, Vol. 680, pN.PAG-N.PAG. 1p.

Schlagwörter: *COAL mining, FEDERATED learning, CONSTRAINED optimization, EVOLUTIONARY algorithms

Constrained optimization problem solved by dynamic constrained NSGA-III multiobjective optimizational techniques.

Autoren: Xi Li Zeng, Sanyou Sha Qin et al.

Quelle: 2015 IEEE Congress on Evolutionary Computation (CEC); 2015, p2923-2928, 6p

Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization.

Autoren: Jiang, Min Wang, Zhenzhong Hong, Haokai et al.

Quelle: IEEE Transactions on Evolutionary Computation; Feb2021, Vol. 25 Issue 1, p117-129, 13p

Schlagwörter: KNEE, RUNNING speed, PREDICTION models, HEURISTIC algorithms