Recent advances of bat-inspired algorithm, its versions and applications

ZAA Alyasseri, OA Alomari, MA Al-Betar… - Neural Computing and …, 2022 - Springer
Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …

A novel hybrid sine cosine algorithm and pattern search for optimal coordination of power system dam** controllers

M Eslami, M Neshat, SA Khalid - Sustainability, 2022 - mdpi.com
This paper presents an effective hybrid optimization technique based on a chaotic sine
cosine algorithm (CSCA) and pattern search (PS) for the coordinated design of power …

A modified Marine predators algorithm for solving single-and multi-objective combined economic emission dispatch problems

MH Hassan, D Yousri, S Kamel, C Rahmann - Computers & Industrial …, 2022 - Elsevier
Decreasing the emission of greenhouse gases and the fuel cost are the main principles of
the combined economic emission dispatch (CEED) optimization problem. In this work, a …

An intelligent EGWO‐SCA‐CS algorithm for PSS parameter tuning under system uncertainties

R Devarapalli, B Bhattacharyya… - International Journal of …, 2020 - Wiley Online Library
This paper proposes a novel hybrid technique called enhanced grey wolf optimization‐sine
cosine algorithm‐cuckoo search (EGWO‐SCA‐CS) algorithm to improve the electrical power …

Optimal coordination of PSS and SSSC controllers in power system using ant colony optimization algorithm

MA Kamarposhti, I Colak, C Iwendi… - Journal of circuits …, 2022 - World Scientific
Volatility leads to disruption in synchronism between generators of a continuous system. The
frequency of the volatility is usually between a few tenths of Hz to several Hz. This volatility is …

Comprehensive learning Harris hawks-equilibrium optimization with terminal replacement mechanism for constrained optimization problems

C Zhong, G Li - Expert Systems with Applications, 2022 - Elsevier
Harris hawks optimization (HHO) is a novel metaheuristic algorithm which has strong
convergence for unconstrained optimization problems. However, HHO may encounter …

New coordinated tuning of SVC and PSSs in multimachine power system using coyote optimization algorithm

T Guesmi, BM Alshammari, Y Almalaq, A Alateeq… - Sustainability, 2021 - mdpi.com
This paper presents a new approach for coordinated design of power system stabilizers
(PSSs) and static VAR compensator (SVC)-based controller. For this purpose, the design …

Adaptive rat swarm optimization for optimum tuning of SVC and PSS in a power system

A Toolabi Moghadam, M Aghahadi… - … on Electrical Energy …, 2022 - Wiley Online Library
This paper presents a new approach for the coordinated design of a power system stabilizer‐
(PSS‐) and static VAR compensator‐(SVC‐) based stabilizer. For this purpose, the design …

Multi-dimensional energy management based on an optimal power flow model using an improved quasi-reflection jellyfish optimization algorithm

AM Shaheen, AM Elsayed, RA El-Sehiemy… - Engineering …, 2023 - Taylor & Francis
This article proposes an enhanced quasi-reflection jellyfish optimization (QRJFO) algorithm
for solving the optimal power flow (OPF) problem. The multi-dimension objective functions …

A new comprehensive learning marine predator algorithm for extracting the optimal parameters of supercapacitor model

D Yousri, A Fathy, H Rezk - Journal of Energy Storage, 2021 - Elsevier
This paper proposes an improved metaheuristic approach of comprehensive learning
marine predator algorithm (CLMPA) to identify the optimal parameters of the supercapacitor …