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An Improved Red-Billed Blue Magpie Optimization for Function Optimization and Engineering Problems. [PDF]
Biomimetics (Basel)Han C, Zhang T, Han H, Dai W, Wu W.
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Research on the application of refinement hierarchical population algorithm in MPPT of photovoltaic arrays. [PDF]
PLoS OneLiming W, Qi K.
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A swarm intelligence algorithm based game theory
International Journal of Computing Science and Mathematics, 2013In this paper, we established a relationship between particle swarm optimisation algorithms and game theory. On that basis, a swarm intelligence-based search mechanism is proposed and applied to solving the attribute reduction problem in the context of rough sets.
Yan-ping Bai, Yu Zhang
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Survey of Swarm Intelligence Algorithms
Proceedings of the 3rd International Conference on Software Engineering and Information Management, 2020Swarm 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, 2020Swarms 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--
Cicirelli Franco +5 more
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Overview of Algorithms for Swarm Intelligence
2011Swarm 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 +3 more
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A Swarm Intelligence Algorithm Inspired by Twitter
2016For 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 +3 more
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