XOR Binary Gravitational Search Algorithm with Repository: Industry 4.0 Applications by Mojtaba Ahmadieh Khanesar, Ridhi Bansal, Giovanna Martínez-Arellano, David T. Branson

“…The proposed algorithm is compared against several existing binary optimization algorithms including existing versions of a binary gravitational search algorithm, improved binary optimization, binary particle swarm optimization, binary grey wolf optimization and binary dragonfly optimization. To show that the proposed approach is an effective method to deal with real world binary optimization problems raised in an Industry 4.0 environment, it is then applied to optimize the assembly task of an industrial robot assembling an industrial calculator. …”
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A New Medical Analytical Framework for Automated Detection of MRI Brain Tumor Using Evolutionary Quantum Inspired Level Set Technique by Saad M. Darwish, Lina J. Abu Shaheen, Adel A. Elzoghabi

“…This article suggests a clustering method influenced by the Quantum Inspired Dragonfly Algorithm (QDA), a metaheuristic optimizer inspired by the swarming behaviors of dragonflies, to accurately extract initial contour points. …”
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Hybrid Metaheuristic Model for Optimal Economic Load Dispatch in Renewable Hybrid Energy System by D. Blandina Miracle, R. K. Viral, P. M. Tiwari, Mohit Bansal

“…In particular, the cost function of POCSO is 6.25%, 6%, 11.7%, 36%, 27%, and 46.42% better than the cost function of whale optimization algorithm (WOA), elephant herd optimization (EHO), moth-flame optimization (MFO), dragonfly algorithm (DA), sealion optimization (SLnO), CSO, and PSO methods, respectively. …”
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On the use of bio-inspired aerofoils for unmanned aerial vehicles by Lim, Chuan Yuan.

“…This report is a follow-up study on the aerodynamic performances of unconventional aerofoils, particularly of those shaped to that of the dragonfly wings. In this study, numerical simulations were carried out to gather lift and drag data of the NACA 0010, Corrugated A and Corrugated B aerofoils. …”
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Dual‐isotope isoscapes for predicting the scale of fish movements in lowland rivers by Emily R. Winter, Andrew M. Hindes, Steve Lane, J. Robert Britton

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Structures of activin ligand traps using natural sets of type I and type II TGFβ receptors by Erich J. Goebel, Chandramohan Kattamuri, Gregory R. Gipson, Lavanya Krishnan, Moises Chavez, Magdalena Czepnik, Michelle C. Maguire, Rosa Grenha, Maria Håkansson, Derek T. Logan, Asya V. Grinberg, Dianne Sako, Roselyne Castonguay, Ravindra Kumar, Thomas B. Thompson

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Calcium and strontium stable isotopes reveal similar behaviors of essential Ca and nonessential Sr in stream food webs by Kai Nils Nitzsche, Shigeyuki Wakaki, Katsuyuki Yamashita, Ki‐Cheol Shin, Yoshikazu Kato, Hiromitsu Kamauchi, Ichiro Tayasu

“…Higher 87Sr/86Sr ratios of some crane fly and caddisfly larvae, mayfly, dobsonfly, and dragonfly nymphs indicated greater terrestrial contributions via plant litter. …”
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Global solar radiation prediction over North Dakota using air temperature: Development of novel hybrid intelligence model by Hai Tao, Ahmed A. Ewees, Ali Omran Al-Sulttani, Ufuk Beyaztas, Mohammed Majeed Hameed, Sinan Q. Salih, Asaad M. Armanuos, Nadhir Al-Ansari, Cyril Voyant, Shamsuddin Shahid, Zaher Mundher Yaseen

“…The performance of the proposed ANFIS-muSG model was compared with classical ANFIS, ANFIS-GOA, ANFIS-SSA, ANFIS-Grey Wolf Optimizer (ANFIS-GWO), ANFIS-Particle Swarm Optimization (ANFIS-PSO), ANFIS-Genetic Algorithm (ANFIS-GA) and ANFIS-Dragonfly Algorithm (ANFIS-DA). Consistent maximum, mean and minimum air temperature data for nine years (2010–2018) were used to build the models. …”
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Key factors selection on adolescents with non-suicidal self-injury: A support vector machine based approach by Jiaxin Yang, Jiaxin Yang, Jiaxin Yang, Yinghao Chen, Gongyu Yao, Zheng Wang, Xi Fu, Yusheng Tian, Yusheng Tian, Yamin Li

“…Using SVM as the base learner, and the binary dragonfly algorithm was used to find the feature combination that minimized the objective function, which took into account both the prediction error and the number of selected variables. …”
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Deep learning to assess the effects of land use/land cover and climate change on landslide susceptibility in the Tra Khuc river basin of Vietnam by Quan Vu Viet Du, Huu Duy Nguyen, Viet Thanh Pham, Cao Huan Nguyen, Quoc-Huy Nguyen, Quang-Thanh Bui, Thanh Thuy Doan, Anh Tuan Tran, Alexandru-Ionut Petrisor

“…The method is based on machine learning and remote sensing algorithms, namely radial basis function neural networks–search and rescue optimization (RBFNN–SARO), radial basis function neural network–queuing search algorithm (RBFNN–QSA), radial basis function neural network–life choice-based optimizer (RBFNN–LCBO), radial basis function neural network–dragonfly optimization (RBFNN–DO). All proposed models performed well, with AUC value of >0.9. …”
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Training of Feed-Forward Neural Networks by Using Optimization Algorithms Based on Swarm-Intelligent for Maximum Power Point Tracking by Ebubekir Kaya, Ceren Baştemur Kaya, Emre Bendeş, Sema Atasever, Başak Öztürk, Bilgin Yazlık

“…These algorithms are artificial bee colony, butterfly optimization, cuckoo search, chicken swarm optimization, dragonfly algorithm, firefly algorithm, grasshopper optimization algorithm, krill herd algorithm, particle swarm optimization, salp swarm algorithm, selfish herd optimizer, tunicate swarm algorithm, and tuna swarm optimization. …”
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An ecological study of freshwater ecosystem and its colligation to Odonates assemblages in Ipogun, Southwest Nigeria by Babasola Adu, Omolola Dada, Victor Tunwase

“…Abstract Background Odonata (dragonfly and damselfly) are particularly good indicators of freshwater ecosystem health. …”
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Multiobjective Optimization of a Hybrid PV/Wind/Battery/Diesel Generator System Integrated in Microgrid: A Case Study in Djelfa, Algeria by Zakaria Belboul, Belgacem Toual, Abdellah Kouzou, Lakhdar Mokrani, Abderrahman Bensalem, Ralph Kennel, Mohamed Abdelrahem

“…The effectiveness of using MOSSA in addressing the optimization issue is investigated by comparing its performance with that of the multiobjective dragonfly algorithm (MODA), multiobjective grasshopper optimization algorithm (MOGOA), and multiobjective ant lion optimizer (MOALO). …”
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Fibronectin extra domain A as a drug delivery targeting epitope for rheumatoid arthritis by Victor Z. Sun, Terry L. Melim, Soumya Mitra, Jamie E. Erickson, Shaughn H. Bryant, Avery Farnham, Susan Westmoreland, Heather Knight, Liang Zhang, Wendy Ritacco, Kristoff Homan, Lorenzo Benatuil, Annette J. Schwartz Sterman, Andrew D. Goodearl

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Accurate parameters extraction of PEMFC model based on metaheuristics algorithms by Ahmed A. Zaki Diab, Hamdi Ali, H.I. Abdul-Ghaffar, Hany A. Abdelsalam, Montaser Abd El Sattar

“…Algorithms of; Whale Optimization Algorithm (WOA) , Weighted Differential Evolution Algorithm (WDE) , Differential evolution algorithm with strategy adaptation (SADE) , Moth- Flame Optimization Algorithm (MFO) , adaptive differential evolution with optional external archive (JADE), Improved mine blast algorithm (IMBA), Gray Wolf Optimizer (GWO), Dragonfly algorithm (DA), Differential EVOLUTION ALGORITHM (DE) , Cumulative Population Distribution Information in Differential Evolution (CPIJDE) , Differential evolution based on covariance matrix learning (COBIDE) , Covariance Matrix Adaptation Evolution Strategy (CMA-ES) , Bernstain-search differential evolution algorithm (BSD), Backtracking Search Optimization Algorithm (BSA) , Bezier Search Differential Evolution Algorithm (BESD ) , DIFFERENTIAL SEARCH ALGORITHM (DSA) and Bijective DSA (B-DSA) , Biogeography-based optimization (BBO); have been applied to estimate model of PEMFC. …”
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CLASSIFICATION OF PARKINSON'S DISEASE IN BRAIN MRI IMAGES USING DEEP RESIDUAL CONVOLUTIONAL NEURAL NETWORK (DRCNN) by Puppala PRANEETH, Majety SATHVIKA, Vivek KOMMAREDDY, Madala SARATH, Saran MALLELA, K. Suvarna VANI, Prasun CHKRABARTI

“…Initially, the input data is normalized using the min-max normalization method, and then noise is removed from the input images using a median filter. The Binary Dragonfly algorithm is then used to select features. …”
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A Novel Enhanced Arithmetic Optimization Algorithm for Global Optimization by Jinzhong Zhang, Gang Zhang, Yourui Huang, Min Kong

“…The EAOA is compared with other algorithms by minimizing the fitness value, such as artificial bee colony, ant line optimizer, cuckoo search, dragonfly algorithm, moth-flame optimization, sine cosine algorithm, water wave optimization and arithmetic optimization algorithm. …”
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Residence advantage in heterospecific territorial disputes of Erythrodiplax Brauer species (Odonata, Libellulidae) Vantagem do residente nas disputas territoriais interespecíficas... by Daniela Chaves Resende

“…This pattern may occur because, despite the territorial behaviour in dragonfly males, heterospecific disputes may not increment male reproductive success because it may not increase their access to females.…”
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Ultra-widefield photoacoustic microscopy with a dual-channel slider-crank laser-scanning apparatus for in vivo biomedical study by Van Tu Nguyen, Nguyen Thanh Phong Truong, Van Hiep Pham, Jaeyeop Choi, Sumin Park, Cao Duong Ly, Soon-Woo Cho, Sudip Mondal, Hae Gyun Lim, Chang-Seok Kim, Junghwan Oh

“…Without any contrast agent, a dragonfly wing, a nude mouse ear, an entire rat ear, and a portion of mouse sagittal are successfully imaged. …”
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Progress in construction of bio-inspired physico-antimicrobial surfaces by Luo Lihui, Zhou Ying, Xu Xiaoling, Shi Wanglin, Hu Jiahao, Li Guo, Qu Xi, Guo Yifan, Tian Xin, Zaman Ahsan, Hui David, Zhou Zuowan

“…Recently, antibacterial effect on surfaces of some natural nanostructures was recognized, and more and more evidences were provided as a new type of bactericidal mechanism, the physical sterilization. The dragonfly and cicada wings have been found to possess the most exceptional antibacterial properties because of the specific nanostructure. …”
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