Results 111 to 120 of about 42,011 (261)
Analysis of PSO Algorithm and GA
Biology and Medical EngineeringParticle Swarm Optimization (PSO) and Genetic algorithm (GA) are widely used in real life and are constantly improved and integrated. Both of them have their own advantages in different fields. Both of them have their own advantages in different fields. It performs exceptionally well in solving complex nonlinear problems.
Chen Lin, Shen Mengmeng
openaire +1 more source
Trajectory analysis and optimization of sea buckthorn fruit vibration separation manipulator based on I-PSO algorithm. [PDF]
Sci Rep, 2023 Liang B, Lin X, Liu G, Lei J, Wang W.
europepmc +1 more source
Polymer Composites, EarlyView.Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci +2 more
wiley +1 more source
, 2016 In this chapter a new approach for Particle Swarm Optimization (PSO) algorithm driven by chaotic pseudorandom number generator based on chaotic Lozi map is presented. This research represents the continuation of the satisfactory results obtained by means
Michal Pluhacek +7 more
core +1 more source
Constrained Engineering Optimization Algorithm Based on Elite Selection
Journal of Algorithms & Computational Technology, 2014 Many engineering optimization problems can be state as function optimization with constrained, intelligence optimization algorithm can solve these problems well.
Xuesong Yan +4 more
doaj +1 more source
Retracted: Income Gap Equalization Based on PSO Algorithm in Edge Computing Environment. [PDF]
J Environ Public Health, 2023 Environmental And Public Health JO.
europepmc +1 more source
Rheological Characterization and Multi‐Regime Viscosity Modeling of Diluted Polyethylene Mixtures
Polymer Engineering &Science, EarlyView.This study maps the flow behavior of low‐density polyethylene in a recycling solvent from dilute solutions to entangled melts. By integrating time–concentration and time–temperature superposition, and coupling three complementary rheometry methods, a unified semiempirical model accurately predicts steady‐shear viscosity over nine decades of viscosity ...
Johannes Krug +7 more
wiley +1 more source
Error Optimization of Machine Vision based Tool Movement using a Hybrid CLONALG and PSO Algorithm
, 2016 A machine vision system with single monochrome CCD camera and backlight was developed for tool positioning and verification. While evaluating the performance of the developed vision system, the experiments showed that the output of machine vision system ...
Garg, Anu, Kumar , Amod, Mahapatra, P.K.
core
Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations
Quality and Reliability Engineering International, EarlyView.ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim +3 more
wiley +1 more source
Hierarchical classification of G-protein-coupled receptors with a PSO/ACO algorithm [PDF]
, 2006 In our previous work we have proposed a hybrid Particle Swarm Optimisation / Ant Colony Optimisation (PSO/ACO) algorithm for discovering classification rules.
Holden, Nicholas, Freitas, Alex A.
core