Results 41 to 50 of about 165,169 (251)

A dynamic adaptive particle swarm optimization and genetic algorithm for different constrained engineering design optimization problems

open access: yesAdvances 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
doaj   +1 more source

Orthogonal learning particle swarm optimization [PDF]

open access: yes, 2010
Particle swarm optimization (PSO) relies on its learning strategy to guide its search direction. Traditionally, each particle utilizes its historical best experience and its neighborhood’s best experience through linear summation.
Li, Y., Shi, Y-H., Zhan, Z-H., Zhang, J.
core   +1 more source

A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization

open access: yesBMC 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
doaj   +1 more source

Parameter identification of sound absorption model of porous materials based on modified particle swarm optimization algorithm.

open access: yesPLoS ONE, 2021
Porous materials have been widely used in the field of noise control. The non-acoustical parameters involved in the sound absorption model have an important effect on the sound absorption performance of porous materials.
Xiaomei Xu, Ping Lin
doaj   +1 more source

Triggered memory-based swarm optimization in dynamic environments [PDF]

open access: yes
This is a post-print version of this article - Copyright @ 2007 Springer-VerlagIn recent years, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems ...
D. Parrott   +9 more
core   +1 more source

Building nearest prototype classifiers using a Michigan approach PSO [PDF]

open access: yes, 2007
IEEE Swarm Intelligence Symposium. Honolulu, HI, 1-5 april 2007This paper presents an application of particle swarm optimization (PSO) to continuous classification problems, using a Michigan approach. In this work, PSO is used to process training data to
Cervantes, Alejandro   +2 more
core   +2 more sources

By dawn or dusk—how circadian timing rewrites bacterial infection outcomes

open access: yesFEBS Letters, EarlyView.
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo   +2 more
wiley   +1 more source

A Multi-Swarm Cellular PSO based on Clonal Selection Algorithm in Dynamic Environments

open access: yes, 2012
Many real-world problems are dynamic optimization problems. In this case, the optima in the environment change dynamically. Therefore, traditional optimization algorithms disable to track and find optima.
Meybodi, Mohammd Reza   +2 more
core   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

open access: yesFEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe   +3 more
wiley   +1 more source

Feedback learning particle swarm optimization [PDF]

open access: yes, 2011
This is the author’s version of a work that was accepted for publication in Applied Soft Computing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may ...
Andrews   +34 more
core   +1 more source

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