[HTML][HTML] Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality
The deployment of energy storage systems (ESSs) is a significant avenue for maximising the
energy efficiency of a distribution network, and overall network performance can be …
energy efficiency of a distribution network, and overall network performance can be …
[HTML][HTML] Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives
S Sengupta, S Basak, RA Peters - Machine Learning and Knowledge …, 2018 - mdpi.com
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 …
Major advances in particle swarm optimization: theory, analysis, and application
EH Houssein, AG Gad, K Hussain… - Swarm and Evolutionary …, 2021 - Elsevier
Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …
A comprehensive survey on particle swarm optimization algorithm and its applications
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …
State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems–A review
M Seyedmahmoudian, B Horan, TK Soon… - … and Sustainable Energy …, 2016 - Elsevier
Given the considerable recent attention to distributed power generation and interest in
sustainable energy, the integration of photovoltaic (PV) systems to grid-connected or …
sustainable energy, the integration of photovoltaic (PV) systems to grid-connected or …
Triple archives particle swarm optimization
There are two common challenges in particle swarm optimization (PSO) research, that is,
selecting proper exemplars and designing an efficient learning model for a particle. In this …
selecting proper exemplars and designing an efficient learning model for a particle. In this …
Capacity optimization of grid connected solar/fuel cell energy system using hybrid ABC-PSO algorithm
Hybrid renewable based power generation has emerged as a major breakthrough in
electrical power system due to their capability of providing competitive and carbon free …
electrical power system due to their capability of providing competitive and carbon free …
[HTML][HTML] Particle swarm optimization based on dimensional learning strategy
In traditional particle swarm optimization (PSO) algorithm, each particle updates its velocity
and position with a learning mechanism based on its personal best experience and the …
and position with a learning mechanism based on its personal best experience and the …
TSA: Tree-seed algorithm for continuous optimization
MS Kiran - Expert Systems with Applications, 2015 - Elsevier
This paper presents a new intelligent optimizer based on the relation between trees and
their seeds for continuous optimization. The new method is in the field of heuristic and …
their seeds for continuous optimization. The new method is in the field of heuristic and …
Improved artificial bee colony algorithm-based path planning of unmanned autonomous helicopter using multi-strategy evolutionary learning
Z Han, M Chen, S Shao, Q Wu - Aerospace Science and Technology, 2022 - Elsevier
Aiming at producing a high-quality flight path for the unmanned autonomous helicopter with
multi-constraints, a path planning method is proposed based on the multi-strategy …
multi-constraints, a path planning method is proposed based on the multi-strategy …