Recent advances in harris hawks optimization: A comparative study and applications
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …
Hybrid reptile search algorithm and remora optimization algorithm for optimization tasks and data clustering
KH Almotairi, L Abualigah - Symmetry, 2022 - mdpi.com
Data clustering is a complex data mining problem that clusters a massive amount of data
objects into a predefined number of clusters; in other words, it finds symmetric and …
objects into a predefined number of clusters; in other words, it finds symmetric and …
An efficient strategy for blood diseases detection based on grey wolf optimization as feature selection and machine learning techniques
Acute Lymphoblastic Leukemia (ALL) is a cancer that infects the blood cells causing the
development of lymphocytes in large numbers. Diagnostic tests are costly and very time …
development of lymphocytes in large numbers. Diagnostic tests are costly and very time …
Statistical analysis based reactive power optimization using improved differential evolutionary algorithm
This study presents a novel improved differential evolutionary (IDE) algorithm for optimizing
reactive power management (RPM) problems. The effectiveness of IDE algorithm is tested …
reactive power management (RPM) problems. The effectiveness of IDE algorithm is tested …
An improved Harris Hawks Optimization algorithm for continuous and discrete optimization problems
H Gezici, H Livatyali - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Harris Hawks Optimization (HHO) is a population-based meta-heuristic optimization
algorithm that has been used for the solution of test functions and real-world problems by …
algorithm that has been used for the solution of test functions and real-world problems by …
New line voltage stability index (BVSI) for voltage stability assessment in power system: the comparative studies
Modern power utilization has been forced to operate close to their stability limits, which may
lead to voltage instability or collapse owing to the stressed operating conditions of networks …
lead to voltage instability or collapse owing to the stressed operating conditions of networks …
[HTML][HTML] Optimizing reactive power dispatch with metaheuristic algorithms: A review of renewable distributed generation integration with intermittency considerations
The integration of renewable energy sources into power systems is becoming increasingly
important. Renewable energy sources (RESs) help decrease dependency on fossil-fuel …
important. Renewable energy sources (RESs) help decrease dependency on fossil-fuel …
Optimal solution of reactive power dispatch in transmission system to minimize power losses using sine-cosine algorithm
Optimal reactive power dispatch (ORPD) has a crucial impact to enhance safety, reliability,
and economical operation of the electric power system. ORPD is a non-linear, non-convex …
and economical operation of the electric power system. ORPD is a non-linear, non-convex …
Optimal reactive power planning using oppositional grey wolf optimization by considering bus vulnerability analysis
Power system instability primarily results from the deviation of the frequency from its
predefined rated value. This deviation causes voltage collapse, which further leads to …
predefined rated value. This deviation causes voltage collapse, which further leads to …
Hybrid BOA‐GWO‐PSO algorithm for mitigation of congestion by optimal reactive power management
The generation of power with load optimization, particularly in the current deregulated
electricity market conditions, is a very important process for improved planning and …
electricity market conditions, is a very important process for improved planning and …