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Published in 2022 at "Journal of Field Robotics"
DOI: 10.1002/rob.22069
Abstract: In this paper, an optimal collision‐free trajectory is developed based on the hybrid optimization algorithms for industrial robotic manipulators (IRMs). Three IRMs such as PUMA 560 (six degrees of freedom—6DOF), KUKA LBR iiwa 14 R820…
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Keywords:
trajectory planning;
hybrid optimization;
industrial robotic;
optimization algorithms ... See more keywords
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Published in 2020 at "Engineering with Computers"
DOI: 10.1007/s00366-020-01124-6
Abstract: The efficiency as computational efforts and accuracy as optimum design condition are two major changes in hybrid intelligent optimization methods for hierarchical stiffened shells (HSS). In this current work, a novel hybrid optimization coupled by…
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Keywords:
method;
hybrid optimization;
stiffened shells;
hierarchical stiffened ... See more keywords
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Published in 2017 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-016-0397-0
Abstract: This paper proposes a hybrid optimization algorithm named as BBO–PSO, which is a combination of biogeography-based optimization (BBO) and particle swarm optimization (PSO). In BBO–PSO, the whole population will be split into several subgroups and…
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Keywords:
iir digital;
pso;
hybrid optimization;
optimization ... See more keywords
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Published in 2020 at "Neural Processing Letters"
DOI: 10.1007/s11063-020-10255-2
Abstract: In recent days, accessing the spectrum of Cognitive Radio spread has gained significance in the applications of sensor based wireless devices. In this promising environment the bottle neck existed in accessing the spectrum which makes…
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Keywords:
radio;
spectrum;
hybrid optimization;
cognitive radio ... See more keywords
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Published in 2019 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2019.105999
Abstract: Abstract This paper proposes a robust adaptive hybrid optimization approach taking advance of two meta-heuristic algorithms to solve the non-convex economic dispatch (ED) problem in large-scale power grids. The demanded load is continuously increasing, leading…
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Keywords:
economic dispatch;
hybrid optimization;
problem;
dispatch problem ... See more keywords
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Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.05.014
Abstract: Abstract A hybrid optimization technique has been adopted for the tuning of fractional-order PI controller parameters for satisfying a predefined set of gain and phase margin specifications. The algorithm aims at determining a set of…
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Keywords:
hybrid optimization;
controller design;
controller;
time ... See more keywords
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Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3164732
Abstract: With the development of the industrial internet technology, the medical data exchange in IoT systems has become more prosperous. Specially, more and more medical images produced by industrial and intelligent devices are outsourced to the…
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Keywords:
medical data;
hybrid optimization;
industrial internet;
security ... See more keywords
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Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3262109
Abstract: Motion planning is important to the automatic operation of the manipulator. It is difficult for traditional motion planning algorithms to achieve efficient online motion planning in a rapidly changing environment and high-dimensional planning space. The…
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Keywords:
hybrid optimization;
neural motion;
motion;
adaptive hybrid ... See more keywords
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Published in 2022 at "Journal of Healthcare Engineering"
DOI: 10.1155/2022/2793850
Abstract: The Zika virus presents an extraordinary public health hazard after spreading from Brazil to the Americas. In the absence of credible forecasts of the outbreak's geographic scope and infection frequency, international public health agencies were…
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Keywords:
optimization algorithm;
zika virus;
virus;
hybrid optimization ... See more keywords
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Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0277900
Abstract: The FWI is formulated as a nonlinear optimization problem that traditionally uses local (derivative-based) minimization to find the scalar field of properties that best represents the field seismic data. This problem has a high computational…
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Keywords:
pso kmeans;
hybrid optimization;
new hybrid;
kmeans anms ... See more keywords
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Published in 2019 at "Energies"
DOI: 10.3390/en12030349
Abstract: Techno-economic, social, and environmental factors influence a large part of society, predominantly in developing countries. Due to energy poverty and bloating populations, developing countries like India are striving to meet the energy balance. One initiative…
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Keywords:
community;
hybrid optimization;
study;
energy ... See more keywords