Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives
Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has
gained prominence in the last two decades due to its ease of application in unsupervised …
gained prominence in the last two decades due to its ease of application in unsupervised …
Tomographic absorption spectroscopy for the study of gas dynamics and reactive flows
Optical imaging techniques are ubiquitous for the resolution of non-uniformities in gas flows.
Planar imaging techniques such as laser-induced fluorescence are well established and …
Planar imaging techniques such as laser-induced fluorescence are well established and …
A novel nature-inspired algorithm for optimization: Squirrel search algorithm
This paper presents a novel nature-inspired optimization paradigm, named as squirrel
search algorithm (SSA). This optimizer imitates the dynamic foraging behaviour of southern …
search algorithm (SSA). This optimizer imitates the dynamic foraging behaviour of southern …
Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability
In this paper, a hybrid genetic algorithm with particle swarm optimization (GA-PSO) is
applied for the optimal sizing of an off-grid house with photovoltaic panels, wind turbines …
applied for the optimal sizing of an off-grid house with photovoltaic panels, wind turbines …
Comprehensive taxonomies of nature-and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations
In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …
order to efficiently address complex optimization problems. In the last years the number of …
Particle swarm optimization or differential evolution—A comparison
AP Piotrowski, JJ Napiorkowski… - Engineering Applications of …, 2023 - Elsevier
In the mid 1990s two landmark metaheuristics have been proposed: Particle Swarm
Optimization and Differential Evolution. Their initial versions were very simple, but rapidly …
Optimization and Differential Evolution. Their initial versions were very simple, but rapidly …
Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach
M Sharafi, TY ELMekkawy - Renewable energy, 2014 - Elsevier
Recently, the increasing energy demand has caused dramatic consumption of fossil fuels
and unavoidable raising energy prices. Moreover, environmental effect of fossil fuel led to …
and unavoidable raising energy prices. Moreover, environmental effect of fossil fuel led to …
A comprehensive review of maximum power point tracking algorithms for photovoltaic systems
In recent decades, Photovoltaic (PV) energy has made significant progress towards meeting
the continuously increasing world energy demand. Besides that, the issue of conventional …
the continuously increasing world energy demand. Besides that, the issue of conventional …
Digital watermarking with improved SMS applied for QR code
With the rapid development of information technology, infringements have become
increasingly serious. Digital watermarking is an effective method to protect information. The …
increasingly serious. Digital watermarking is an effective method to protect information. The …
Multimodal multiobjective optimization with differential evolution
This paper proposes a multimodal multiobjective Differential Evolution optimization
algorithm (MMODE). The technique is conceived for deployment on problems with a Pareto …
algorithm (MMODE). The technique is conceived for deployment on problems with a Pareto …