Dragonfly algorithm: a comprehensive review and applications
Dragonfly algorithm (DA) is a novel swarm intelligence meta-heuristic optimization algorithm
inspired by the dynamic and static swarming behaviors of artificial dragonflies in nature. It …
inspired by the dynamic and static swarming behaviors of artificial dragonflies in nature. It …
Dragonfly algorithm and its applications in applied science survey
One of the most recently developed heuristic optimization algorithms is dragonfly by Mirjalili.
Dragonfly algorithm has shown its ability to optimizing different real‐world problems. It has …
Dragonfly algorithm has shown its ability to optimizing different real‐world problems. It has …
(1+ PD)-PID cascade controller design for performance betterment of load frequency control in diverse electric power systems
In our world of today develo** incredibly fast, load frequency control (LFC) is an
indispensable and vital element in increasing the standard of living of a country by providing …
indispensable and vital element in increasing the standard of living of a country by providing …
Parameters optimization of support vector machines for imbalanced data using social ski driver algorithm
The parameters of support vector machines (SVMs) such as kernel parameters and the
penalty parameter have a great influence on the accuracy and complexity of the …
penalty parameter have a great influence on the accuracy and complexity of the …
Dragonfly algorithm: a comprehensive survey of its results, variants, and applications
This paper thoroughly introduces a comprehensive review of the so-called Dragonfly
algorithm (DA) and highlights its main characteristics. DA is considered one of the promising …
algorithm (DA) and highlights its main characteristics. DA is considered one of the promising …
Dragonfly algorithm: theory, literature review, and application in feature selection
In this chapter, a wrapper-based feature selection algorithm is designed and substantiated
based on the binary variant of Dragonfly Algorithm (BDA). DA is a successful, well …
based on the binary variant of Dragonfly Algorithm (BDA). DA is a successful, well …
MOGOA algorithm for constrained and unconstrained multi-objective optimization problems
Abstract Grasshopper Optimization Algorithm (GOA) was modified in this paper, to optimize
multi-objective problems, and the modified version is called Multi-Objective Grasshopper …
multi-objective problems, and the modified version is called Multi-Objective Grasshopper …
Dragonfly algorithm and its hybrids: A survey on performance, objectives and applications
Swarm intelligence is a discipline which makes use of a number of agents for solving
optimization problems by producing low cost, fast and robust solutions. The dragonfly …
optimization problems by producing low cost, fast and robust solutions. The dragonfly …
Quantum-behaved particle swarm optimization for parameter optimization of support vector machine
Support vector machine (SVM) parameters such as penalty parameter and kernel
parameters have a great influence on the complexity and accuracy of SVM model. In this …
parameters have a great influence on the complexity and accuracy of SVM model. In this …
Prediction of the concentrations of PM1, PM2. 5, PM4, and PM10 by using the hybrid dragonfly-SVM algorithm
This paper aims to model the daily evolution for particulate matter concentrations of less
than 1 μm (PM1), 2.5 μm (PM2. 5), 4 μm (PM4), 10 μm (PM10), and PM-Total, based on …
than 1 μm (PM1), 2.5 μm (PM2. 5), 4 μm (PM4), 10 μm (PM10), and PM-Total, based on …