目标子群大小预分配的仿生群裂变驱动算法。

IF 3.1 3区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

Bioinspiration & Biomimetics Pub Date : 2025-02-24 DOI:10.1088/1748-3190/adaff5

He Cai, Hao Wang, Zixin Bei, Dongkuan Zhou, Huanli Gao

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引用次数: 0

摘要

受虎鲸捕猎策略的启发，本研究提出了一种控制群体裂变的仿生算法。群体智能体采用经典的社会力模型，并做了一些实际的修改。该算法包括三个阶段：基于约束K-means算法的聚类选择阶段，基于特定驱动agent的中心推、协调振荡和侧翼推等策略驱动阶段，以及基于Kruskal算法的确定子群分离的判断阶段。仿真结果证实了该算法在子群划分方面具有较高的成功率和效率，显示了其在推进基于群体的技术方面的潜力。

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Biomimetic swarm fission driven algorithm with preassigned target subgroup size.

Inspired by killer whale hunting strategies, this study presents a biomimetic algorithm for controlled subgroup fission in swarms. The swarm agents adopt the classic social force model with some practical modifications. The proposed algorithm consists of three phases: cluster selection phase via a constrained K-means algorithm, driven phase with strategic agent movement, including center pushing, coordinated oscillation, and flank pushing by specialized driven agents, and judgment phase confirming subgroup separation using the Kruskal algorithm. Simulation results confirm the algorithm's high success rate and efficiency in subgroup division, demonstrating its potential for advancing swarm-based technologies.

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来源期刊

Bioinspiration & Biomimetics 工程技术-材料科学：生物材料

CiteScore

5.90

自引率

14.70%

发文量

132

审稿时长

3 months

期刊介绍： Bioinspiration & Biomimetics publishes research involving the study and distillation of principles and functions found in biological systems that have been developed through evolution, and application of this knowledge to produce novel and exciting basic technologies and new approaches to solving scientific problems. It provides a forum for interdisciplinary research which acts as a pipeline, facilitating the two-way flow of ideas and understanding between the extensive bodies of knowledge of the different disciplines. It has two principal aims: to draw on biology to enrich engineering and to draw from engineering to enrich biology. The journal aims to include input from across all intersecting areas of both fields. In biology, this would include work in all fields from physiology to ecology, with either zoological or botanical focus. In engineering, this would include both design and practical application of biomimetic or bioinspired devices and systems. Typical areas of interest include: Systems, designs and structure Communication and navigation Cooperative behaviour Self-organizing biological systems Self-healing and self-assembly Aerial locomotion and aerospace applications of biomimetics Biomorphic surface and subsurface systems Marine dynamics: swimming and underwater dynamics Applications of novel materials Biomechanics; including movement, locomotion, fluidics Cellular behaviour Sensors and senses Biomimetic or bioinformed approaches to geological exploration.