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Wild crickets can adjust escaping speed under varying predation cues. [PDF]
Behav EcolLi R +3 more
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Quantum-like mutation-induced dragonfly-inspired optimization approach
Mathematics and Computers in Simulation, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Caiyang Yu +7 more
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A novel hybrid dragonfly optimization algorithm for agricultural drought prediction
Stochastic Environmental Research and Risk Assessment, 2021Palmer Drought Severity Index (PDSI) is known as a robust agricultural drought index since it considers the water balance conditions in the soil. It has been widely used as a reference index for monitoring agricultural drought. In this study, the PDSI time series were calculated for nine synoptic stations to monitor agricultural drought in semi-arid ...
Pouya Aghelpour +4 more
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Optimal Reactive Power Dispatch Solution by Loss Minimisation Using Dragonfly Optimization Algorithm
2020Optimal reactive power dispatch (ORPD) is an essential optimisation aspect in an electrical power system that aids in attaining optimal reliability, security as well as cost-effective operation of the system network. ORPD is an optimal power flow (OPF) problem with nonlinear and non-convex constrained objective functions having both discrete and ...
Ibrahim Haruna Shanono +6 more
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Optimal Design of IIR Filter Using Dragonfly Algorithm
2018The field of infinite impulse response (IIR) filter design mainly focused on the proper selection of filter parameters from the numerous possible combination. This filter design problem is based on determining the optimal set of parameters for unknown model such that its closely matches with the parameters of the benchmark filter. Many researchers have
Sandeep Singh +4 more
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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 ...
Sree Ranjini K.S., S. Murugan
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Optimizing Neural Networks using Dragonfly Algorithm for Medical Prediction
2018 8th International Conference on Computer Science and Information Technology (CSIT), 2018As the early diagnoses helps in curing most diseases or in making them more bearable, it increases the need to build a good prediction model. Artificial Neural Network (ANN) is one of the evolutionary computation techniques that can be used as a prediction model for new data records.
Mais Yasen, Nailah Al-Madi, Nadim Obeid
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A Modified Dragonfly Algorithm for Real Parameter Function Optimization
2020In this article, our aim is to suggest an algorithm which optimizes the real parameter function. We improve the performance of normal dragonfly algorithm, which is a swarm intelligence algorithm, by incorporating opposition-based learning with some alternation.
Sabari Pramanik, S. K. Setua
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Journal of Intelligent & Fuzzy Systems, 2023
Cloud infrastructure provides a real time computing environment to customers and had wide applicability in healthcare, medical facilities, business, and several other areas. Most of the health data recorded and saved on the cloud. But the cloud infrastructure is configured using several components and that makes it a complex structure.
Saini, Monika +3 more
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Cloud infrastructure provides a real time computing environment to customers and had wide applicability in healthcare, medical facilities, business, and several other areas. Most of the health data recorded and saved on the cloud. But the cloud infrastructure is configured using several components and that makes it a complex structure.
Saini, Monika +3 more
openaire +1 more source