已选(0)清除
条数/页: 排序方式: |
| Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1458-1475 作者: Jing Liang; Hongyu Lin; Caitong Yue; Ponnuthurai Nagaratnam Suganthan; Yaonan Wang Adobe PDF(2268Kb)  |  收藏  |  浏览/下载:33/12  |  提交时间:2024/05/22 Benchmark functions diversity measure evolutionary algorithms multimodal multiobjective optimization |
| Evolutionary Optimization Methods for High-Dimensional Expensive Problems: A Survey 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1092-1105 作者: MengChu Zhou; Meiji Cui; Dian Xu; Shuwei Zhu; Ziyan Zhao; Abdullah Abusorrah Adobe PDF(2100Kb)  |  收藏  |  浏览/下载:40/7  |  提交时间:2024/04/10 Evolutionary algorithm (EA) high-dimensional expensive problems (HEPs) industrial applications surrogate-assisted optimization |
| Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 919-931 作者: Fei Ming; Wenyin Gong; Ling Wang; Yaochu Jin Adobe PDF(2091Kb)  |  收藏  |  浏览/下载:69/29  |  提交时间:2024/03/18 Constrained multi-objective optimization deep Q-learning deep reinforcement learning (DRL) evolutionary algorithms evolutionary operator selection |
| Even Search in a Promising Region for Constrained Multi-Objective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 474-486 作者: Fei Ming; Wenyin Gong; Yaochu Jin Adobe PDF(1847Kb)  |  收藏  |  浏览/下载:75/36  |  提交时间:2024/01/23 Constrained multi-objective optimization even search evolutionary algorithms promising region real-world problems |
| Evolutionary Multitasking With Global and Local Auxiliary Tasks for Constrained Multi-Objective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1951-1964 作者: Kangjia Qiao; Jing Liang; Zhongyao Liu; Kunjie Yu; Caitong Yue; Boyang Qu Adobe PDF(3148Kb)  |  收藏  |  浏览/下载:101/43  |  提交时间:2023/09/07 Constrained multi-objective optimization evolutionary multitasking (EMT) global auxiliary task knowledge transfer local auxiliary task |
| Coevolutionary Framework for Generalized Multimodal Multi-Objective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1544-1556 作者: Wenhua Li; Xingyi Yao; Kaiwen Li; Rui Wang; Tao Zhang; Ling Wang Adobe PDF(4321Kb)  |  收藏  |  浏览/下载:109/57  |  提交时间:2023/06/14 Coevolution ${\bm{\epsilon}}$-dominance generalized multimodal multi-objective optimization (MMO) local convergence two archives |
| What Does ChatGPT Say: The DAO from Algorithmic Intelligence to Linguistic Intelligence 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 575-579 作者: Fei-Yue Wang; Qinghai Miao; Xuan Li; Xingxia Wang; Yilun Lin Adobe PDF(1298Kb)  |  收藏  |  浏览/下载:321/90  |  提交时间:2023/03/02 |
| Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 524-546 作者: Wentao Mao; Gangsheng Wang; Linlin Kou; Xihui Liang Adobe PDF(25706Kb)  |  收藏  |  浏览/下载:689/43  |  提交时间:2023/01/16 Anomaly detection domain adaptation domain-adversarial training one-class classification transfer learning |
| Tourism Route Recommendation Based on A Multi-Objective Evolutionary Algorithm Using Two-Stage Decomposition and Pareto Layering 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 486-500 作者: Xiaoyao Zheng; Baoting Han; Zhen Ni Adobe PDF(5493Kb)  |  收藏  |  浏览/下载:231/71  |  提交时间:2023/01/16 Evolutionary algorithm multi-objective optimization Pareto optimization tourism route recommendation two-stage decomposition |
| Visuals to Text: A Comprehensive Review on Automatic Image Captioning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1339-1365 作者: Yue Ming; Nannan Hu; Chunxiao Fan; Fan Feng; Jiangwan Zhou; Hui Yu Adobe PDF(56128Kb)  |  收藏  |  浏览/下载:175/21  |  提交时间:2022/08/01 Artificial intelligence attention mechanism encoder-decoder framework image captioning multi-modal understanding training strategies |