Current studies and applications of shuffled frog lea** algorithm: a review

BB Maaroof, TA Rashid, JM Abdulla, BA Hassan… - … Methods in Engineering, 2022 - Springer
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 …

State-of-the-art of optimal active and reactive power flow: A comprehensive review from various standpoints

E Naderi, H Narimani, M Pourakbari-Kasmaei… - Processes, 2021 - mdpi.com
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 …

Many-objective gradient-based optimizer to solve optimal power flow problems: analysis and validations

M Premkumar, P Jangir, R Sowmya… - … Applications of Artificial …, 2021 - Elsevier
The growing energy demand and environmental consciousness provoke the conventional
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

M Premkumar, C Kumar, T Dharma Raj… - IET Generation …, 2023 - Wiley Online Library
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 …

Solving multi‐objective optimal power flow problem via forced initialised differential evolution algorithm

AM Shaheen, RA El‐Sehiemy… - IET Generation …, 2016 - Wiley Online Library
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 …

A modified MOEA/D approach to the solution of multi-objective optimal power flow problem

J Zhang, Q Tang, P Li, D Deng, Y Chen - Applied Soft Computing, 2016 - Elsevier
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 …

Multi-objective dynamic distribution feeder reconfiguration in automated distribution systems

A Azizivahed, H Narimani, M Fathi, E Naderi… - Energy, 2018 - Elsevier
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 …

Optimization of active power dispatch considering unified power flow controller: application of evolutionary algorithms in a fuzzy framework

E Naderi, L Mirzaei, M Pourakbari-Kasmaei… - Evolutionary …, 2024 - Springer
This paper presents an optimal active power dispatch (OAPD) problem that, unlike common
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

P Jangir, P Manoharan, S Pandya… - … Journal of Industrial …, 2023 - m.growingscience.com
This paper recommends a new Many-Objective Teaching-Learning-Based Optimizer
(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 …