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Bioinspired Spatio-Temporal Cooperative Path Planning for Heterogeneous UAVs Driven by Bi-Level Games: An SSA-MPC Fusion Approach. [PDF]

Biomimetics (Basel)
Yu Y, Le M.
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Orchestrating machine learning models in a swarm architecture for IoT inline malware detection. [PDF]

Sci Rep
Hanif M, Munir EU, Rehan MM, Ahmad SG, Ayyub K, Ramzan N.   +5 more
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Real-world evaluat ion of hybrid Green AI for sustainable and efficient smart supply chain distribution. [PDF]

Sci Rep
Hassouna MA, Aboutabl AE, Diaa NM, Haggag RY.   +3 more
europepmc   +1 more source

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Survey of Swarm Intelligence Algorithms

Proceedings of the 3rd International Conference on Software Engineering and Information Management, 2020
Swarm Intelligence (SI) is an AI technique that has the collective behavior of a decentralized, self-organized system. SI has more advantages such as scalability, adaptability, collective robustness and individual simplicity and also has the ability to solve complex problems.
Suganya Selvaraj, Eunmi Choi
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Modeling Swarm Intelligence Algorithms for CPS Swarms

ACM SIGAda Ada Letters, 2020
Swarms of cyber-physical systems (CPSs) have a high potential for innovative and successful applications. Swarm intelligence algorithms are one approach to handle the increased complexity that comes with the high number of CPSs in a swarm. In such algorithms, individual CPSs follow simple rules that lead to an emergent behavior.
M. Schranz, M. Sende
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Strategies for Parallelizing Swarm Intelligence Algorithms

2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, 2015
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Cicirelli Franco, Folino Gianluigi, Forestiero Agostino, Giordano Andrea, Mastroianni Carlo, Spezzano Giandomenico   +5 more
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Overview of Algorithms for Swarm Intelligence

2011
Swarm intelligence (SI) is based on collective behavior of selforganized systems. Typical swarm intelligence schemes include Particle Swarm Optimization (PSO), Ant Colony System (ACS), Stochastic Diffusion Search (SDS), Bacteria Foraging (BF), the Artificial Bee Colony (ABC), and so on. Besides the applications to conventional optimization problems, SI
Shu-Chuan Chu 0001, Hsiang-Cheh Huang, John F. Roddick, Jeng-Shyang Pan 0001   +3 more
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A Swarm Intelligence Algorithm Inspired by Twitter

2016
For many years, evolutionary computation researchers have been trying to extract the swarm intelligence from biological systems in nature. Series of algorithms proposed by imitating animals’ behaviours have established themselves as effective means for solving optimization problems.
Zhihui Lv, Furao Shen, Jinxi Zhao, Tao Zhu   +3 more
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