Thermal ion imagers and Langmuir probes in the Swarm electric field instruments
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Geophysical Research"
DOI: 10.1002/2016ja022571
Abstract: The European Space Agency's three Swarm satellites were launched on November 22, 2013 into nearly-polar, circular orbits, eventually reaching altitudes of 460 km (Swarm A and C) and 510 km (Swarm B). Swarm's multi-year mission… read more here.
Keywords: electric fields; field; langmuir probes; ion ... See more keywords
Relocation, Focal Mechanisms and Stress Field Characteristics of Earthquake Swarms in the Songyuan Area of Jilin Province, China
Sign Up to like & getrecommendations! Published in 2020 at "Pure and Applied Geophysics"
DOI: 10.1007/s00024-020-02574-1
Abstract: Two earthquake swarms, the Qianguo swarm and Ningjiang swarm, have been observed since 2013 in the Songyuan area, Jilin Province, China. Using the seismic data of broadband permanent and temporal stations that recorded a larger… read more here.
Keywords: direction; usepackage; area; songyuan area ... See more keywords
Empirical study of particle swarm optimization inspired by Lotka–Volterra model in Ecology
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DOI: 10.1007/s00500-018-3215-9
Abstract: Particle swarm optimization (PSO) has been proved to be an effective technique in solving complex global optimization problems. Many modified versions of the original PSO algorithm emerged during the last 15 years. Many of those existing… read more here.
Keywords: swarm optimization; swarm; particle swarm; ecology ... See more keywords
Feature selection based on hybridization of genetic algorithm and competitive swarm optimizer
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DOI: 10.1007/s00500-019-04628-6
Abstract: Feature selection is one of the hottest machine learning topics in recent years. The main purposes of it are to simplify the original model, improve the readability of the model, and prevent over-fitting by searching… read more here.
Keywords: feature selection; competitive swarm; swarm; algorithm ... See more keywords
A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3952-9
Abstract: One of the major challenges and difficulties to generate optimal operation rule for dam and reservoir operation are how efficient the optimization algorithm to search for the global optimal solution and the time-consume for convergence.… read more here.
Keywords: reservoir operation; algorithm; dam reservoir; bat ... See more keywords
Enhanced particle swarm optimization with multi-swarm and multi-velocity for optimizing high-dimensional problems
Sign Up to like & getrecommendations! Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1258-3
Abstract: Traditional particle swarm optimization (PSO) algorithm mainly relies on the history optimal information to guide its optimization. However, when the traditional PSO algorithm searches high-dimensional complex problems, wrong position information of the best particles can… read more here.
Keywords: multi; velocity; particle swarm; optimization ... See more keywords
A grouping particle swarm optimizer
Sign Up to like & getrecommendations! Published in 2019 at "Applied Intelligence"
DOI: 10.1007/s10489-019-01409-4
Abstract: Due to the lack of global search capacity, most evolutionary or swarm intelligence based algorithms show their inefficiency when optimizing multi-modal problems. In this paper, we propose a grouping particle swarm optimizer (GPSO) to solve… read more here.
Keywords: grouping particle; swarm optimizer; particle swarm; swarm ... See more keywords
Decentralized navigation method for a robotic swarm with nonhomogeneous abilities
Sign Up to like & getrecommendations! Published in 2018 at "Autonomous Robots"
DOI: 10.1007/s10514-018-9774-x
Abstract: This paper addresses the navigation of a robotic swarm with nonhomogeneous abilities, including sensing range, maximum velocity, and acceleration. With this method, the robotic swarm moves in a two-dimensional plane, and each follower distributedly constructs… read more here.
Keywords: robotic swarm; nonhomogeneous abilities; method robotic; swarm nonhomogeneous ... See more keywords
An early warning model for the stuck-in medical drilling process based on the artificial fish swarm algorithm and SVM
Sign Up to like & getrecommendations! Published in 2021 at "Distributed and Parallel Databases"
DOI: 10.1007/s10619-021-07344-z
Abstract: To avoid the considerable challenges and losses caused by stuck drilling to normal drilling operations, this article analyses the mechanism of stuck drilling, then combines the artificial fish swarm algorithm (AFSA) and support vector machine… read more here.
Keywords: warning model; artificial fish; drilling; model ... See more keywords
Udwadia–Kalaba constraint-based tracking control for artificial swarm mechanical systems: dynamic approach
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DOI: 10.1007/s11071-020-05613-7
Abstract: A novel swarm tracking control for artificial swarm mechanical systems consisting of multiple mechanical agents is proposed. In this paper, the agents could not only perform some biological swarm behaviors, such as the repulsion and… read more here.
Keywords: artificial swarm; control; tracking control; control artificial ... See more keywords
Stochastic stability of particle swarm optimisation
Sign Up to like & getrecommendations! Published in 2017 at "Swarm Intelligence"
DOI: 10.1007/s11721-017-0144-7
Abstract: Particle swarm optimisation (PSO) is a metaheuristic algorithm used to find good solutions in a wide range of optimisation problems. The success of metaheuristic approaches is often dependent on the tuning of the control parameters.… read more here.
Keywords: stability; particle swarm; optimisation; swarm optimisation ... See more keywords