A Novel Optimization Algorithm Inspired by Egyptian Stray Dogs for Solving Multi-Objective Optimal Power Flow Problems by Mohamed H. ElMessmary, Hatem Y. Diab, Mahmoud Abdelsalam, Mona F. Moussa

“…The proposed technique is compared with the particle swarm optimization (PSO), multi-verse optimization (MVO), grasshopper optimization (GOA), and Harris hawk optimization (HHO) and hippopotamus optimization (HO) algorithms through MATLAB simulations by applying them to the IEEE 30-bus system under various operational circumstances. …”
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Joint Optimization of Computation Offloading and Task Scheduling Using Multi-Objective Arithmetic Optimization Algorithm in Cloud-Fog Computing by Asad Ali, Nazia Azim, Mohamed Tahar Ben Othman, Ateeq Ur Rehman, Masoud Alajmi, Mosleh Hmoud Al-Adhaileh, Faheem Ullah Khan, Mamyrbayev Orken, Habib Hamam

“…Extensive simulations in MATLAB demonstrate the efficacy of the proposed algorithm in terms of designated optimization objectives.…”
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Improved optimization based on parrot’s chaotic optimizer for solving complex problems in engineering and medical image segmentation by Adil Sayyouri, Ahmed Bencherqui, Hanaa Mansouri, Hicham Karmouni, Hassane Moustabchir, Mhamed Sayyouri, Abderrahim Bourkane, Abdeljabbar Cherkaoui, S. S. Askar, Mohamed Abouhawwash

“…Abstract Metaheuristics, which are general-purpose algorithms, are commonly used to solve complex optimization problems. …”
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Deep learning algorithm on H&E whole slide images to characterize TP53 alterations frequency and spatial distribution in breast cancer by Chiara Frascarelli, Konstantinos Venetis, Antonio Marra, Eltjona Mane, Mariia Ivanova, Giulia Cursano, Francesca Maria Porta, Alberto Concardi, Arnaud Gerard Michel Ceol, Annarosa Farina, Carmen Criscitiello, Giuseppe Curigliano, Elena Guerini-Rocco, Nicola Fusco

“…This proof-of-concept study employed a deep learning (DL) algorithm to predict TP53 mutational status from H&E-stained whole slide images (WSIs) of BC tissue. …”
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A clinically feasible algorithm for the parallel detection of glioma‐associated copy number variation markers based on shallow whole genome sequencing by Shuai Wu, Chenyu Ma, Jiawei Cai, Chenkang Yang, Xiaojia Liu, Chen Luo, Jingyi Yang, Zhang Xiong, Dandan Cao, Hong Chen

“…In conclusion, we provide a clinically applicable algorithm to classify the CNV status of glioma‐associated markers in parallel.…”
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Optimization of Complex Cancer Morphology Detection Using the SIVQ Pattern Recognition Algorithm by Jason Hipp, Steven Christopher Smith, Jerome Cheng, Scott Arthur Tomlins, James Monaco, Anant Madabhushi, Lakshmi Priya Kunju, Ulysses J. Balis

“…In a number of cases in surgical pathology, morphometric quantitation is already performed manually or semi-quantitatively, with this effort contributing to diagnostic workup. Digital whole slide imaging, coupled with emerging image analysis algorithms, offers great promise as an adjunctive tool for the surgical pathologist in areas of screening, quality assurance, consistency, and quantitation. …”
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Minimum-cost network hardening algorithm based on stochastic loose optimize strategy by Guang-sheng ZHAO, Qing-feng CHENG, Yong-lin SUN

“…To construst a minimum-cost network hardening (MCNH) scheme in large-scale network,a stochastic loose optimize strategy based algorithm (MCNHA-SLOS) was proposed,and its effectiveness was analyzed.MCNHA-SLOS was a near-optimal approximation algorithm,which could achieve iterative computations in the array of sparse spaces of the whole plan space,so that the near-optimal scheme must exist in the low cost plan space.Instantiation analysis and experimental results show that the MCNHA-SLOS algorithm to be efficient,precision controllable and asymptotically optimal,and thus very applicable for large-scale network.…”
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Optimization of the Operation Rule Curves for Cascade Reservoirs Using the Cuckoo Search Algorithm by Ismail Ara, Mutlu Yasar

“…These models determine the inflow and outflow necessary to meet the demands for drinking water, irrigation water, etc. Rather than optimizing each reservoir separately in cascaded reservoir systems, more efficient results are obtained if the reservoirs are optimized as a whole. …”
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Artificial Afterimage Algorithm: A New Bio-Inspired Metaheuristic Algorithm and Its Clustering Application by Murat Demir

“…In this study, a new, metaheuristic method called the afterimage algorithm is proposed. The proposed method was developed inspired by the fact that when we close our eyes after looking at a luminous image for a while, the vision still occurs in our minds. …”
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A Particle Swarm Optimization Algorithm for Smart Grid Voltage Collapse Path by Jie XU, Shinong WANG

“…An particle swarm optimization algorithm for optimizing the collapse paths when brittleness occurs is used to give the influence of the brittleness inside the system on the system’s stability and the solutions to the multiple collapse transmitting paths when brittleness is excited, and the collapse paths are analyzed. …”
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Coverage Optimization Algorithm Based on Sampling for 3D Underwater Sensor Networks by Du Xiaoyu, Sun Lijuan, Liu Linfeng

“…We propose a coverage optimization algorithm based on sampling to enhance the coverage of 3D underwater sensor networks. …”
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Research on Wellbore Trajectory Optimization and Drilling Control Based on the TD3 Algorithm by Haipeng Gu, Yang Wu, Xiaowei Li, Zhaokai Hou

“…This research shows that the TD3 algorithm is superior to the multi-objective optimization algorithm in optimizing key parameters, such as well deviation, kickoff point (KOP), and trajectory length, especially in well deviation and KOP optimization. …”
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Hyperparameter Optimization of the Perceptron Algorithm for Determining the Feasibility of Research Proposals and Community Service by Lisnawita Lisnawita, Guntoro Guntoro, Loneli Costaner

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Dual-Population Cooperative Correlation Evolutionary Algorithm for Constrained Multi-Objective Optimization by Junming Chen, Yanxiu Wang, Zichun Shao, Hui Zeng, Siyuan Zhao

“…These two populations share information through a collaborative interaction mechanism, where the driving population focuses on objective optimization, while the conventional population balances both objectives and constraints. …”
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Resource Allocation Algorithm for the Downlink of Multi-User OFDM System with Optimized Fairness by Limei Tang, Haiyan Cao, Jun Li, Shiyi Xie

“…A resource allocation algorithm for the downlink of multi-user OFDM system with optimized fairness was studied. …”
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Resource Allocation Algorithm for the Downlink of Multi-User OFDM System with Optimized Fairness by Limei Tang, Haiyan Cao, Jun Li, Shiyi Xie

“…A resource allocation algorithm for the downlink of multi-user OFDM system with optimized fairness was studied. …”
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Localization Algorithm in Wireless Sensor Networks Based on Multiobjective Particle Swarm Optimization by Ziwen Sun, Li Tao, Xinyu Wang, Zhiping Zhou

“…Based on multiobjective particle swarm optimization, a localization algorithm named multiobjective particle swarm optimization localization algorithm (MOPSOLA) is proposed to solve the multiobjective optimization localization issues in wireless sensor networks. …”
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An Equivalence Theorem and A Sequential Algorithm for A-Optimal Experimental Designs on Manifolds by Jingwen Zhang, Yaping Wang

“…Based on this result, a sequential algorithm for identifying A-optimal designs on manifold data is developed. …”
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An image processing technique for optimizing industrial defect detection using dehazing algorithms. by Xuanyi Zhao, Xiaohan Dou, Gengpei Zhang

“…In recent years, the demand for efficient and accurate defect detection algorithms in industrial production has been increasing. …”
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Enhancing curve smoothness with whale optimization algorithm in positivity and monotonicity-preserving interpolation by Salwa Syazwani Mahzir, Md Yushalify Misro

“…This study integrated a metaheuristic optimization method, specifically the whale optimization algorithm (WOA), to enhance the positivity and monotonicity-preserving interpolation methods by optimizing the free shape parameter. …”
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