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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
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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 +2 more
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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
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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
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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
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The Gaussian Mutational Barebone Dragonfly Algorithm: From Design to Analysis [PDF]
Symmetry, 2022 The dragonfly algorithm is a swarm intelligence optimization algorithm based on simulating the swarming behavior of dragonfly individuals. An efficient algorithm must have a symmetry of information between the participating entities. An improved dragonfly algorithm is proposed in this paper to further improve the global searching ability and the ...
Fangjun Kuang +2 more
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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
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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
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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 +3 more sources
Memory based Hybrid Dragonfly Algorithm for numerical optimization problems
Expert Systems With Applications, 2017A novel hybrid algorithm (MHDA) based on Dragon Fly and PSO is proposed.Performance is tested using standard benchmark problems.Proposed algorithm is compared with well-known optimization algorithms.Statistical analysis is done using Friedmans test and Wilcoxon signed ranksum test.Superiority of MHDA is also proved by applying on engineering design ...
S Murugan
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