Results 31 to 40 of about 285,833 (292)
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review [PDF]
Swarm and Evolutionary Computation, 2020 A key aspect of the design of evolutionary and swarm intelligence algorithms is studying their performance. Statistical comparisons are also a crucial part which allows for reliable conclusions to be drawn.
Jacinto Carrasco +4 more
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UAV Swarms Behavior Modeling Using Tracking Bigraphical Reactive Systems
Sensors, 2021 Recently, there has been a fairly rapid increase in interest in the use of UAV swarms both in civilian and military operations. This is mainly due to relatively low cost, greater flexibility, and increasing efficiency of swarms themselves.
Piotr Cybulski, Zbigniew Zieliński
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Northern Goshawk Optimization: A New Swarm-Based Algorithm for Solving Optimization Problems
IEEE Access, 2021 Optimization algorithms are one of the effective stochastic methods in solving optimization problems. In this paper, a new swarm-based algorithm called Northern Goshawk Optimization (NGO) algorithm is presented that simulates the behavior of northern ...
Mohammad Dehghani +2 more
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Geophysical Research Letters, 2023 An Mw 6.2 earthquake occurred in Suzu, northeastern Noto Peninsula, Japan, on 5 May 2023, followed by many aftershocks. Before this mainshock‐aftershock sequence, an intense earthquake swarm lasted in the vicinity for 2.5 years.
Keisuke Yoshida +7 more
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Tuna Swarm Optimization: A Novel Swarm-Based Metaheuristic Algorithm for Global Optimization
Computational Intelligence and Neuroscience, 2021 In this paper, a novel swarm-based metaheuristic algorithm is proposed, which is called tuna swarm optimization (TSO). The main inspiration for TSO is based on the cooperative foraging behavior of tuna swarm.
Lei Xie +5 more
semanticscholar +1 more source
Review of Swarm Intelligence-based Feature Selection Methods [PDF]
Engineering applications of artificial intelligence, 2020 In the past decades, the rapid growth of computer and database technologies has led to the rapid growth of large-scale datasets. On the other hand, data mining applications with high dimensional datasets that require high speed and accuracy are rapidly ...
M. Rostami +2 more
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Frontiers in Neurorobotics, 2023 Worms often aggregate through physical connections and exhibit remarkable functions such as efficient migration, survival under environmental changes, and defense against predators. In particular, entangled blobs demonstrate versatile behaviors for their
Taishi Mikami +5 more
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A Proposal for Honeyword Generation via Meerkat Clan Algorithm
Cybernetics and Information Technologies, 2022 An effective password cracking detection system is the honeyword system. The Honeyword method attempts to increase the security of hashed passwords by making password cracking easier to detect.
Yasser Yasser A. +2 more
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Swarm Robotics: Past, Present, and Future
Proceedings of the IEEE, 2021 By MARCO DORIGO , Fellow IEEE Institut de Recherches Interdisciplinaires et de Développements en Intelligence Artificielle (IRIDIA), Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium GUY THERAULAZ Centre de Recherches sur la Cognition Animale ...
M. Dorigo, G. Theraulaz, V. Trianni
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A Review of: “Bitskrieg: The New Challenge of Cyberwarfare” by John Arquilla
Journal of Central and Eastern European African Studies, 2023 Arquilla, John, Bitskrieg: The New Challenge of Cyberwarfare. Polity Press, Medford-Cambridge, 2021. ISBN-13: 978-1-5095-4362-5 (hc); ISBN-13: 978-1-5095-4363-2 (pb).
Attila Gulyás
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