Conceptual and numerical comparisons of swarm intelligence optimization algorithms
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-1993-x
Abstract: Swarm intelligence (SI) optimization algorithms are fast and robust global optimization methods, and have attracted significant attention due to their ability to solve complex optimization problems. The underlying idea behind all SI algorithms is similar,… read more here.
Keywords: conceptual numerical; swarm intelligence; intelligence optimization; optimization algorithms ... See more keywords
Two swarm intelligence approaches for tuning extreme learning machine
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-017-0642-3
Abstract: Extreme learning machine (ELM) is a new algorithm for training single-hidden layer feedforward neural networks which provides good performance as well as fast learning speed. ELM tends to produce good generalization performance with large number… read more here.
Keywords: machine; extreme learning; learning machine; swarm intelligence ... See more keywords
Effectiveness of Swarm Intelligence Algorithms for Geographically Robust Hotspot Detection
Sign Up to like & getrecommendations! Published in 2021 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-021-06032-5
Abstract: For a given set of spatial locations (e.g., criminal activities, disease outbreak, etc.), circular hotspot detection (CHD) identifies circular zones (or hotspots) of significantly high concentration of activity points in the given space. Furthermore, the… read more here.
Keywords: geographically robust; hotspot detection; swarm intelligence; chd ... See more keywords
Inverse hygric property determination based on dynamic measurements and swarm-intelligence optimisers
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DOI: 10.1016/j.buildenv.2017.12.030
Abstract: Abstract To accelerate the hygric characterisation of porous building materials, dynamic flow and storage measurements in combination with inverse parameter estimation show a lot of promise. Therein though, the processing and interpretation of the experimental… read more here.
Keywords: parameter estimation; methodology; swarm intelligence; intelligence optimisers ... See more keywords
Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis
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DOI: 10.1016/j.compbiolchem.2020.107247
Abstract: BACKGROUND In psoriasis skin disease, psoriatic cells develop rapidly than the normal healthy cells. This speedy growth causes accumulation of dead skin cells on the skin's surface, resulting in thick patches of red, dry, and… read more here.
Keywords: detection; clustering; swarm intelligence; psoriasis ... See more keywords
Multiobjective optimization of 2DOF controller using Evolutionary and Swarm intelligence enhanced with TOPSIS
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DOI: 10.1016/j.heliyon.2019.e01410
Abstract: In this paper, Evolutionary (NSGA-II and NSGA-III) and Swarm Intelligence (MOPSO) based algorithms enhanced with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is employed to optimize five parameters of Two Degree… read more here.
Keywords: 2dof controller; swarm intelligence; topsis; optimization ... See more keywords
RNA sequencing and swarm intelligence–enhanced classification algorithm development for blood-based disease diagnostics using spliced blood platelet RNA
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DOI: 10.1038/s41596-019-0139-5
Abstract: Blood-based diagnostics tests, using individual or panels of biomarkers, may revolutionize disease diagnostics and enable minimally invasive therapy monitoring. However, selection of the most relevant biomarkers from liquid biosources remains an immense challenge. We recently… read more here.
Keywords: platelet rna; swarm intelligence; protocol; intelligence enhanced ... See more keywords
Performance analysis of swarm intelligence algorithms in removal of ECG artefact from tainted EEG signal
Sign Up to like & getrecommendations! Published in 2018 at "Automatika"
DOI: 10.1080/00051144.2018.1541642
Abstract: Electroencephalogram (EEG) is the recording of electrical activities of the brain. It is contaminated by other biological signals, known as artefacts. In this research paper, the performance analysis of three swarm intelligence incorporated adaptive neuro… read more here.
Keywords: swarm intelligence; anfis; performance; swarm ... See more keywords
Robust Unbalance Compensation of Induction Machines Using Swarm Intelligence Control: Design and Analysis
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DOI: 10.1080/15325008.2020.1821839
Abstract: Abstract This work presents an innovative approach for solving the problem of unbalance in three-phase induction motors (IM). The presented contribution is based on optimal controller operating with a quantized swarm-intelligence algorithm. The work starts… read more here.
Keywords: phase; unbalance; analysis; three phase ... See more keywords
An Efficient Construction of Confidence Regions via Swarm Intelligence and Its Application in Target Localization
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DOI: 10.1109/access.2017.2785789
Abstract: It is essential to enhance the speed and accuracy of the localization process to gain the robustness and instantaneous properties and to adapt from the practical environment of a confidence band. In this paper, we… read more here.
Keywords: confidence; swarm intelligence; target; confidence band ... See more keywords
A General Framework for Accelerating Swarm Intelligence Algorithms on FPGAs, GPUs and Multi-Core CPUs
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DOI: 10.1109/access.2018.2882455
Abstract: Swarm intelligence algorithms (SIAs) have demonstrated excellent performance when solving optimization problems including many real-world problems. However, because of their expensive computational cost for some complex problems, SIAs need to be accelerated effectively for better… read more here.
Keywords: framework; swarm intelligence; fasi; performance ... See more keywords