Moth–flame optimization algorithm: variants and applications

M Shehab, L Abualigah, H Al Hamad, H Alabool… - Neural Computing and …, 2020 - Springer
This paper thoroughly presents a comprehensive review of the so-called moth–flame
optimization (MFO) and analyzes its main characteristics. MFO is considered one of the …

A critical review of moth-flame optimization algorithm and its variants: structural reviewing, performance evaluation, and statistical analysis

H Zamani, MH Nadimi-Shahraki, S Mirjalili… - … Methods in Engineering, 2024 - Springer
A growing trend of introducing new metaheuristic algorithms and their improvements is
observed with almost the same inherited weaknesses. The main reason is that a few studies …

B-MFO: a binary moth-flame optimization for feature selection from medical datasets

MH Nadimi-Shahraki, M Banaie-Dezfouli, H Zamani… - Computers, 2021 - mdpi.com
Advancements in medical technology have created numerous large datasets including
many features. Usually, all captured features are not necessary, and there are redundant …

An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks

Y Xu, H Chen, AA Heidari, J Luo, Q Zhang… - Expert Systems with …, 2019 - Elsevier
Moth-flame optimization algorithm (MFO) is a new nature-inspired meta-heuristic based on
the navigation routine of moths in the environment known as transverse orientation. For …

Review of economic dispatch in multi-area power system: State-of-the-art and future prospective

AB Kunya, AS Abubakar, SS Yusuf - Electric Power Systems Research, 2023 - Elsevier
Efficient and cost-effective coordination of online generation facilities is essential to the
reliable operation multi-area power system (PS) especially in a deregulated environment …

A novel multi-objective hybrid particle swarm and salp optimization algorithm for technical-economical-environmental operation in power systems

RA El Sehiemy, F Selim, B Bentouati, MA Abido - Energy, 2020 - Elsevier
Abstract Optimal Power Flow (OPF) problem is one of the most widely nonlinear optimization
problems in power systems. This paper proposes a novel hybrid optimization algorithm that …

[HTML][HTML] Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey …

M Rawa, A Abusorrah, H Bassi, S Mekhilef… - Ain Shams Engineering …, 2021 - Elsevier
This paper presents an economical-technical-environmental dispatch (ETED) model for an
adapted IEEE 30-bus system incorporated with thermal and a mix of renewable energy …

A new Kho-Kho optimization Algorithm: An application to solve combined emission economic dispatch and combined heat and power economic dispatch problem

A Srivastava, DK Das - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
In this article, a new optimization technique known as Kho-Kho optimization (KKO) algorithm
is presented. This proposed technique is a population based meta-heuristic method which is …

[HTML][HTML] A developed eagle-strategy supply-demand optimizer for solving economic load dispatch problems

MH Hassan, S Kamel, A Eid, L Nasrat, F Jurado… - Ain Shams Engineering …, 2023 - Elsevier
This article proposes a new effective technique, named eagle-strategy supply–demand
based optimization algorithm with chaotic (ESCSDO), for achieving global solutions to …

An Improved Moth-Flame Optimization algorithm with hybrid search phase

D Pelusi, R Mascella, L Tallini, J Nayak, B Naik… - Knowledge-Based …, 2020 - Elsevier
In order to solve real-life problems, several metaheuristic optimization algorithms have been
developed. The Moth-Flame Optimization (MFO) algorithm is a search algorithm based on a …