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it - Information Technology, 2019 Swarm Intelligence has emerged as one of the most studied artificial intelligence branches during the last decade, constituting the fastest growing stream in the bio-inspired computation community.
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A self-learning particle swarm optimizer for global optimization problems [PDF]
, 2011 Copyright @ 2011 IEEE. All Rights Reserved. This article was made available through the Brunel Open Access Publishing Fund.Particle swarm optimization (PSO) has been shown as an effective tool for solving global optimization problems.
Yang, S +8 more
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Swarm Intelligence in Engineering [PDF]
Mathematical Problems in Engineering, 2013 Electrical Engineering, Mathematics and Computer ...
Yao, B. (author) +2 more
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EqualTDRL: illustrating equivalent tandem duplication random loss rearrangements
BMC Bioinformatics, 2018 Background To study the differences between two unichromosomal circular genomes, e.g., mitochondrial genomes, under the tandem duplication random loss (TDRL) rearrangement it is important to consider the whole set of potential TDRL rearrangement events ...
Tom Hartmann +2 more
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Creativity and Autonomy in Swarm Intelligence Systems [PDF]
, 2012 This work introduces two swarm intelligence algorithms -- one mimicking the behaviour of one species of ants (\emph{Leptothorax acervorum}) foraging (a `Stochastic Diffusion Search', SDS) and the other algorithm mimicking the behaviour of birds flocking (
Bishop, Mark (J. M.) +3 more
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Building nearest prototype classifiers using a Michigan approach PSO [PDF]
, 2007 IEEE Swarm Intelligence Symposium. Honolulu, HI, 1-5 april 2007This paper presents an application of particle swarm optimization (PSO) to continuous classification problems, using a Michigan approach. In this work, PSO is used to process training data to
Galván, Inés M. +8 more
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Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem
Qubahan Academic Journal, 2023 Swarm Intelligence algorithms are computational intelligence algorithms inspired from the collective behavior of real swarms such as ant colony, fish school, bee colony, bat swarm, and other swarms in the nature.
Awaz Ahmad Shaban +3 more
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UAV Swarm Intelligence: Recent Advances and Future Trends
IEEE Access, 2020 The dynamic uncertain environment and complex tasks determine that the unmanned aerial vehicle (UAV) system is bound to develop towards clustering, autonomy, and intelligence.
Yongkun Zhou, Bin Rao, Wei Wang
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Summary of New Group Intelligent Optimization Algorithms [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2022 Intelligent optimization algorithms could be divided into four categories: nature-like optimization algorithm, evolutionary algorithm, plant growth simulation algorithm，and swarm intelligence optimization algorithm.The swarm intelligence optimization ...
GAO Yuelin +4 more
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From Swarm Simulations to Swarm Intelligence [PDF]
Proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS), 2016 In self-organizing systems such as collective intelligent behaviors of animal or insect groups: flocks of birds, colonies of ants, schools of fish, swarms of bees, etc. there are ever emergent patterns which cannot be reduced to a linear composition of elementary subsystems properly.
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