Titlebook: Advances in Swarm Intelligence; 15th International C Ying Tan,Yuhui Shi Conference proceedings 2024 The Editor(s) (if applicable) and The A

FECK

恩惠

Grouping and?Angle Partitioning-Based Coverage Path Planning for?Swarm Robots Using Only Local Commuthod. Such that the robots in each group cover the same subarea collaboratively by maintaining continuous communication. Experimental results show its superior performance over the state-of-the-art methods in environments with local communication.

fatty-acids

A Hyper-heuristic Algorithm Based on Q-Learning for 3D Drone Trajectory Planning, the generated paths are smoothed using cubic B-spline curves. Finally, simulation experiments are conducted in two environments comparing the proposed algorithm with three other algorithms. Results indicate that the proposed algorithm outperforms the other three algorithms in terms of optimization performance.

披肩

Efficient Multilevel Spatial Co-location Pattern Discovery Based on?Density-Wise Clustering and?MC-Hsed method is examined and compared with other two efficient methods on both synthetic and real-world data. The experimental results show that our method not only effectively addresses the mentioned challenges but also generates noteworthy results.

disrupt

Multiple Machine Learning Methods with?Correlation Analysis for?Short-Term River Water Quality Predicounterparts, while showing weaker associations with other water indicators. Among the three machine learning models, LSTM demonstrates superior predictive performance for total phosphorus, while RF excels in predicting ammonia nitrogen.

使出神

Federated Neural Architecture Search with?Hierarchical Progressive Acceleration for?Medical Image Serchitecture search to reduce communication and evaluation burdens. Experimental results on retinal blood vessel segmentation tasks show that FS-ENAS efficiently searches for suitable architectures with reduced communication and evaluation costs while protecting privacy.

大炮

Dawdle

ABYSS

Conference proceedings 2024rm Intelligence, ICSI 2024, held in Xining, China, during August 23–26, 2024...The 74 revised full papers presented in these proceedings were carefully reviewed and selected from 156 submissions. The papers are organized in the following topical sections:..Part I - Particle swarm optimization; Swarm

Feature

Automated Planning and?Scheduling with?Swarm Intelligences and algorithms’ search behaviors. The interpretability of algorithms is discussed from interpretable processes and interpretable results. Based on the interpretability analysis, swarm intelligence’s evolution and learning ability could design the automated algorithm.