Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Current studies and applications of shuffled frog lea** algorithm: a review
Abstract Shuffled Frog Lea** Algorithm (SFLA) is one of the most widespread algorithms.
It was developed by Eusuff and Lansey in 2006. SFLA is a population-based metaheuristic …
It was developed by Eusuff and Lansey in 2006. SFLA is a population-based metaheuristic …
State-of-the-art of optimal active and reactive power flow: A comprehensive review from various standpoints
Optimal power flow (OPF), a mathematical programming problem extending power flow
relationships, is one of the essential tools in the operation and control of power grids. To …
relationships, is one of the essential tools in the operation and control of power grids. To …
Many-objective gradient-based optimizer to solve optimal power flow problems: analysis and validations
The growing energy demand and environmental consciousness provoke the conventional
single-objective optimization framework no longer satisfies new power system planning and …
single-objective optimization framework no longer satisfies new power system planning and …
A reliable optimization framework using ensembled successive history adaptive differential evolutionary algorithm for optimal power flow problems
Abstract The Optimal Power Flow (OPF) is a primary tool in planning and installing power
systems. It attempts to minimize the operating costs associated with generating and …
systems. It attempts to minimize the operating costs associated with generating and …
Solving multi‐objective optimal power flow problem via forced initialised differential evolution algorithm
This study proposes a multi‐objective differential evolution algorithm (MO‐DEA) based on
forced initialisation to solve the optimal power flow (OPF) problem. The OPF problem is …
forced initialisation to solve the optimal power flow (OPF) problem. The OPF problem is …
A modified MOEA/D approach to the solution of multi-objective optimal power flow problem
This study presents a modified multi-objective evolutionary algorithm based decomposition
(MOEA/D) approach to solve the optimal power flow (OPF) problem with multiple and …
(MOEA/D) approach to solve the optimal power flow (OPF) problem with multiple and …
Multi-objective dynamic distribution feeder reconfiguration in automated distribution systems
Distribution feeder reconfiguration is an important operation problem in distribution system
which has been used to improve the efficiency of distribution systems by obtaining the best …
which has been used to improve the efficiency of distribution systems by obtaining the best …
Optimization of active power dispatch considering unified power flow controller: application of evolutionary algorithms in a fuzzy framework
This paper presents an optimal active power dispatch (OAPD) problem that, unlike common
economic dispatch problems, precludes unwanted mismatches on realistic power systems …
economic dispatch problems, precludes unwanted mismatches on realistic power systems …
MaOTLBO: Many-objective teaching-learning-based optimizer for control and monitoring the optimal power flow of modern power systems
This paper recommends a new Many-Objective Teaching-Learning-Based Optimizer
(MaOTLBO) to handle the Many-Objective Optimal Power Flow (MaO-OPF) problem of …
(MaOTLBO) to handle the Many-Objective Optimal Power Flow (MaO-OPF) problem of …
Application of imperialist competitive algorithm with its modified techniques for multi-objective optimal power flow problem: a comparative study
M Ghasemi, S Ghavidel, MM Ghanbarian… - Information …, 2014 - Elsevier
One of the major tools for power system operators is Optimal Power Flow (OPF) problem
which is designed to optimize a certain objective over power network variables under certain …
which is designed to optimize a certain objective over power network variables under certain …