GGWO: Gaze cues learning-based grey wolf optimizer and its applications for solving engineering problems
In this article, an improved variant of the grey wolf optimizer (GWO) named gaze cues
learning-based grey wolf optimizer (GGWO) is proposed. The main intentions are to reduce …
learning-based grey wolf optimizer (GGWO) is proposed. The main intentions are to reduce …
Development and application of equilibrium optimizer for optimal power flow calculation of power system
This paper proposes an enhanced version of Equilibrium Optimizer (EO) called (EEO) for
solving global optimization and the optimal power flow (OPF) problems. The proposed EEO …
solving global optimization and the optimal power flow (OPF) problems. The proposed EEO …
Enhanced Kepler optimization for efficient penetration of PV sources integrated with STATCOM devices in power distribution systems
This paper introduces an enhanced Fractional Order Kepler Optimizer (FOKO) with a Local
Esca** Strategy (LES) to maximize overall energy efficiency in distribution systems …
Esca** Strategy (LES) to maximize overall energy efficiency in distribution systems …
A heap-based algorithm with deeper exploitative feature for optimal allocations of distributed generations with feeder reconfiguration in power distribution networks
The optimal combination of power distribution feeder reconfiguration (PDFR) with distributed
generators (DGs) is one of the most attractive combinatorial optimization issues. This paper …
generators (DGs) is one of the most attractive combinatorial optimization issues. This paper …
An improved seagull optimization algorithm for optimal coordination of distance and directional over-current relays
In this paper, an improved bio-inspired optimization algorithm called Seagull Optimization
Algorithm (ISOA) is proposed. ISOA is developed based on three techniques, these …
Algorithm (ISOA) is proposed. ISOA is developed based on three techniques, these …
An efficient orthogonal opposition-based learning slime mould algorithm for maximum power point tracking
The slime mould algorithm (SMA) is a recent physics-based optimization approach. The
main inspiration of the SMA is motivated by the natural oscillating state of the slime mould …
main inspiration of the SMA is motivated by the natural oscillating state of the slime mould …
[HTML][HTML] An enhanced optimizer of social network search for multi-dimension optimal power flow in electrical power grids
This paper presents an enhanced computational optimizer of the Social Network Search
Technique (ESNST) for multi-dimension Optimal Power Flow (OPF) in Electrical Power Grids …
Technique (ESNST) for multi-dimension Optimal Power Flow (OPF) in Electrical Power Grids …
Swarm Intelligence Algorithms-Based Machine Learning Framework for Medical Diagnosis: A Comprehensive Review
When building medical diagnosis software, one of the most difficult challenges in disease
prediction. Machine Learning (ML) approaches have proven to be effective in a range of …
prediction. Machine Learning (ML) approaches have proven to be effective in a range of …
Optimized protection coordination of smart grids considering N-1 contingency based on reliability-oriented probability of various topologies
S Sadeghi, H Hashemi-Dezaki… - Electric Power Systems …, 2022 - Elsevier
The optimized protection system is critical in the design of microgrids (MGs) and smart grids
(SGs). Different studies have tried to respond to MGs protection challenges, such as the …
(SGs). Different studies have tried to respond to MGs protection challenges, such as the …
Metaheuristics for parameter estimation of solar photovoltaic cells: a comprehensive review
Recently, renewable energy sources have great significance and contracted to be more and
more interesting for the numerous reasons. Among these reasons, they are considered …
more interesting for the numerous reasons. Among these reasons, they are considered …