mtmtMagyar Tudományos Művek Tára

XML JSON Átlépés a keresőbe In English

2025 37th Chinese Control and Decision Conference (CCDC)

Angol nyelvű Konferenciakötet (Könyv) Tudományos

Megjelent: IEEE, Piscataway (NJ), Amerikai Egyesült Államok 2025

Konferencia: 37th Chinese Control and Decision Conference, CCDC 2025 2025-05-16 [Xiamen, Kína]

Azonosítók

MTMT: 36313533
ISBN: 9798331510565

Fejezetek

Wang Y. et al. A Multi-Strategy Enhanced Chernobyl Disaster Optimizer for Global Optimization and Engineering Design Problems. (2025) Megjelent: 2025 37th Chinese Control and Decision Conference (CCDC) pp. 178-183
Qin Yali et al. Evaluation of Zinc Roughing Process Based on Weighted Density Clustering. (2025) Megjelent: 2025 37th Chinese Control and Decision Conference (CCDC) pp. 1592-1597
Xiao J. et al. Distributed Shape Formation and Obstacle Avoidance Method for Multi-Agent Systems Based on Graph. (2025) Megjelent: 2025 37th Chinese Control and Decision Conference (CCDC) pp. 2179-2184
Rao H. et al. Improved Crayfish Optimization Algorithm for Solving Feature Selection Problem. (2025) Megjelent: 2025 37th Chinese Control and Decision Conference (CCDC) pp. 3514-3519
Song Zhanfei et al. A Mean Field Game Algorithm for Unmanned System Crowd Evacuation. (2025) Megjelent: 2025 37th Chinese Control and Decision Conference (CCDC) pp. 3611-3616
Shao Guifang et al. Research on Pedestrian Evacuation Guiding Control based on Cooperative Behavior. (2025) Megjelent: 2025 37th Chinese Control and Decision Conference (CCDC) pp. 3617-3622
Tian Y. et al. Optimal Motion Planning for Estimating Relative States of Mobile Agents With Range Measurements. (2025) Megjelent: 2025 37th Chinese Control and Decision Conference (CCDC) pp. 3986-3991
Tian Y. et al. On Localizability of Mobile Agents in Anchor-free and Sparse Network. (2025) Megjelent: 2025 37th Chinese Control and Decision Conference (CCDC) pp. 3992-3997
Li C. et al. Particle Swarm Optimization for Self-Organizing Obstacle Avoidance of UAV Swarms. (2025) Megjelent: 2025 37th Chinese Control and Decision Conference (CCDC) pp. 4865-4872
Zhang Yan et al. An Edge-Turning Strategy Based on Greedy Algorithm to Optimize the Network Controllability. (2025) Megjelent: 2025 37th Chinese Control and Decision Conference (CCDC) pp. 5804-5810

Hivatkozás stílusok: IEEE ACM APA Chicago Harvard CSLMásolásNyomtatás

2026-08-08 15:33

×

Lista exportálása irodalomjegyzékként

Hivatkozás stílusok: IEEE ACM APA Chicago HarvardNyomtatásMásolás