Results 51 to 60 of about 3,109,206 (294)
A Bayesian interpretation of the particle swarm optimization and its kernel extension. [PDF]
PLoS ONE, 2012 Particle swarm optimization is a popular method for solving difficult optimization problems. There have been attempts to formulate the method in formal probabilistic or stochastic terms (e.g.
Peter Andras
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Advances in Mechanical Engineering, 2019 A dynamic adaptive particle swarm optimization and genetic algorithm is presented to solve constrained engineering optimization problems. A dynamic adaptive inertia factor is introduced in the basic particle swarm optimization algorithm to balance the ...
Hao Zhu, Yumei Hu, Weidong Zhu
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Journal of Harbin University of Science and Technology, 2019 In order to improve the precision of the parameter optimization, the research integrates the Particle Swarm Optimization Algorithm with Support Vector Machine, and matches the experimental data, and then establishes a steadystate model of complex process
MAN Chun-tao, LIU Bo, CAO Yong-cheng
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Structure‐forward targeting of claudins with synthetic binders
FEBS Letters, EarlyView.Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
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BMC Bioinformatics, 2019 Background Gene selection is one of the critical steps in the course of the classification of microarray data. Since particle swarm optimization has no complicated evolutionary operators and fewer parameters need to be adjusted, it has been used ...
Fei Han +5 more
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An Improved Symbiosis Particle Swarm Optimization for Solving Economic Load Dispatch Problem
Journal of Electrical and Computer Engineering, 2021 To realize the sustainable development of social economy, energy conservation and emission reduction has become one of the problems that must be considered in the current power system.
Jianxia Zhang +4 more
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Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
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Energy Reports, 2022 The sewage treatment system based on particle swarm optimization algorithm to improve energy efficiency is analyzed. Firstly, this paper takes particle swarm optimization algorithm and activated sludge sewage treatment method as the research object, and ...
Bingqin Su +5 more
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FEBS Letters, EarlyView.Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
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The Assessment of Straightness and Flatness Errors Using Particle Swarm Optimization [PDF]
, 2013 The straightness and flatness errors are generally assessed by using the Least Squares Method (LSM). However, the results obtained from LSM often overestimate the tolerances, and are not consistent with the ISO standards’ definitions.
Cui, Changcai +10 more
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