Results 41 to 50 of about 167,218 (270)
An analysis of the inertia weight parameter for binary particle swarm optimization [PDF]
, 2016 In particle swarm optimization, the inertia weight is an important parameter for controlling its search capability. There have been intensive studies of the inertia weight in continuous optimization, but little attention has been paid to the binary case.
Li, X, Liu, J, Mei, Y
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
PLoS 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
Novel Artificial Human Optimization Field Algorithms - The Beginning
, 2019 New Artificial Human Optimization (AHO) Field Algorithms can be created from scratch or by adding the concept of Artificial Humans into other existing Optimization Algorithms.
Gajawada, Satish, Mustafa, Hassan
core +1 more source
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS 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
Building nearest prototype classifiers using a Michigan approach PSO [PDF]
, 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
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
FEBS Letters, EarlyView.We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source