Results 201 to 210 of about 9,118 (243)
Some of the next articles are maybe not open access.
An improved Dragonfly Algorithm for feature selection
Knowledge-Based Systems, 2020Abstract Dragonfly Algorithm (DA) is a recent swarm-based optimization method that imitates the hunting and migration mechanisms of idealized dragonflies. Recently, a binary DA (BDA) has been proposed. During the algorithm iterative process, the BDA updates its five main coefficients using random values.
Abdelaziz I Hammouri +2 more
exaly +2 more sources
Dragonfly algorithm: a comprehensive review and applications
Neural Computing and Applications, 2020Dragonfly 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 has proved its effectiveness and superiority compared to several well-known meta-heuristics available in the literature.
Yassine Meraihi
exaly +4 more sources
Connectivity and constructive algorithms of disjoint paths in dragonfly networks
Theoretical Computer Science, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Suying Wu +4 more
openaire +2 more sources
Wind driven dragonfly algorithm for global optimization
Concurrency and Computation: Practice and Experience, 2020SummaryDragonfly algorithm (DA) is a new swarm intelligence optimization algorithm based on the static and dynamic swarm behavior of dragonflies. The algorithm has the characteristics of simple structure, strong search ability, easy implementation, and strong robustness.
Lianlian Zhong +3 more
openaire +1 more source
A New Set of Mutation Operators for Dragonfly Algorithm
Arabian Journal for Science and Engineering, 2021Dragonfly algorithm (DA) is a recently introduced, swarm intelligent algorithm and has proved its worth over real-world optimization problems. The algorithm is very efficient but is computationally expensive, has poor exploration properties, and unbalanced cohesion and alignment operation. In the present work, the concept of mutation operators has been
Rohit Salgotra +4 more
openaire +1 more source
Chaotic dragonfly algorithm: an improved metaheuristic algorithm for feature selection
Applied Intelligence, 2018Selecting the most discriminative features is a challenging problem in many applications. Bio-inspired optimization algorithms have been widely applied to solve many optimization problems including the feature selection problem. In this paper, the most discriminating features were selected by a new Chaotic Dragonfly Algorithm (CDA) where chaotic maps ...
Gehad Ismail Sayed +2 more
openaire +1 more source
2017
The dragonfly algorithm (DA) is a new metaheuristic optimization algorithm, which is based on simulating the swarming behavior of dragonfly individuals. This algorithm was developed by Mirjalili (2016) and the preliminary studies illustrated its potential in solving numerous benchmark optimization problems and complex computational fluid dynamics (CFD)
Babak Zolghadr-Asli +2 more
openaire +2 more sources
The dragonfly algorithm (DA) is a new metaheuristic optimization algorithm, which is based on simulating the swarming behavior of dragonfly individuals. This algorithm was developed by Mirjalili (2016) and the preliminary studies illustrated its potential in solving numerous benchmark optimization problems and complex computational fluid dynamics (CFD)
Babak Zolghadr-Asli +2 more
openaire +2 more sources
A Spark-based Distributed Dragonfly Algorithm for Feature Selection
2020 15th International Conference on Computer Science & Education (ICCSE), 2020Dragonfly algorithm is an intelligent group optimization algorithm. In this paper, dragonfly algorithm is well used in the field of feature selection. However, dragonfly algorithm has the problem of falling into local optimal solution, which reduces the performance of feature selection and classification.
Hongwei Chen +5 more
openaire +1 more source
Dragonfly algorithm: a comprehensive survey of its results, variants, and applications
Multimedia Tools and Applications, 2021This 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 swarm optimization algorithms because it successfully applied in a wide range of optimization problems in several fields, such as engineering design, medical applications, image
Mohammad Alshinwan +6 more
openaire +1 more source
A hybrid dragonfly algorithm with extreme learning machine for prediction
2016 International Symposium on INnovations in Intelligent SysTems and Applications (INISTA), 2016In this work, a proposed hybrid dragonfly algorithm (DA) with extreme learning machine (ELM) system for prediction problem is presented. ELM model is considered a promising method for data regression and classification problems. It has fast training advantage, but it always requires a huge number of nodes in the hidden layer.
Mustafa Abdul Salam +4 more
openaire +1 more source