Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review

R Rai, A Das, KG Dhal - Evolving Systems, 2022 - Springer
Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy

S Pirouzi - IET Generation, Transmission & Distribution, 2023 - Wiley Online Library
Energy management of a virtual power plant (VPP) that consists of wind farm (WF), energy
storage systems and a demand response program is discussed in the present study. The …

Energy management system based on economic Flexi-reliable operation for the smart distribution network including integrated energy system of hydrogen storage …

H Liang, S Pirouzi - Energy, 2024 - Elsevier
This paper presents the energy management of smart distribution network including
integrated system of hydrogen storage and renewable sources. Objective is to assess …

MCSA: Multi-strategy boosted chameleon-inspired optimization algorithm for engineering applications

G Hu, R Yang, X Qin, G Wei - Computer Methods in Applied Mechanics and …, 2023 - Elsevier
Chameleon swarm algorithm (CSA) is a newly proposed swarm intelligence algorithm
inspired by the chameleon's foraging strategies of tracking, searching and attacking targets …

Boosting kernel search optimizer with slime mould foraging behavior for combined economic emission dispatch problems

R Dong, L Sun, L Ma, AA Heidari, X Zhou… - Journal of Bionic …, 2023 - Springer
Reducing pollutant emissions from electricity production in the power system positively
impacts the control of greenhouse gas emissions. Boosting kernel search optimizer (BKSO) …

Boosting chameleon swarm algorithm with consumption AEO operator for global optimization and feature selection

RR Mostafa, AA Ewees, RM Ghoniem… - Knowledge-Based …, 2022 - Elsevier
Feature selection (FS) plays a crucial role as a pre-processing tool in data mining, especially
for real-world applications in medical fields; it has been utilized exponentially and becomes …

Resiliency-constrained placement and sizing of virtual power plants in the distribution network considering extreme weather events

M Zadehbagheri, M Dehghan, M Kiani, S Pirouzi - Electrical Engineering, 2024 - Springer
The placement and scale of virtual power plants (VPPs) in distribution networks are the only
topics covered in this article that pertain to the resilience of the grid to severe weather. This …

Novel heuristic optimization technique to solve economic load dispatch and economic emission load dispatch problems

N Singh, T Chakrabarti, P Chakrabarti, M Margala… - Electronics, 2023 - mdpi.com
The fundamental objective of economic load dispatch is to operate the available generating
units such that the needed load demand satisfies the lowest generation cost and also …

Performance of osprey optimization algorithm for solving economic load dispatch problem

AAK Ismaeel, EH Houssein, DS Khafaga… - Mathematics, 2023 - mdpi.com
The osprey optimization algorithm (OOA) is a new metaheuristic motivated by the strategy of
hunting fish in seas. In this study, the OOA is applied to solve one of the main items in a …

Economic load dispatch problem based on search and rescue optimization algorithm

M Said, EH Houssein, S Deb, RM Ghoniem… - IEEE …, 2022 - ieeexplore.ieee.org
The Search and Rescue optimization algorithm (SAR) is a recent metaheuristic inspired by
the exploration's behaviour for humans throughout search and rescue processes. The SAR …