An improved Red-billed blue magpie feature selection algorithm for medical data processing. by Chenyi Zhu, Zhiyi Wang, Yinan Peng, Wenjun Xiao

“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
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Energy-Efficient Computation Offloading and Resource Allocation in SWIPT-Based MEC Networks by E. Xuefei, Zhonggui Ma, Kaihang Yu

“…We also propose a three-part alternative optimization algorithm framework based on the categories of optimization variables. …”
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A New Computer-Aided Diagnosis System for Breast Cancer Detection from Thermograms Using Metaheuristic Algorithms and Explainable AI by Hanane Dihmani, Abdelmajid Bousselham, Omar Bouattane

“…To achieve these goals, we proposed a new multi-objective optimization approach named the Hybrid Particle Swarm Optimization algorithm (HPSO) and Hybrid Spider Monkey Optimization algorithm (HSMO). …”
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Multiobjective Coverage Control Strategy for Energy-Efficient Wireless Sensor Networks by Hui Zhou, Tian Liang, Chen Xu, Jing Xie

“…A new evolutionary algorithm named Multiobjective free search algorithm (MOFS) is designed for WSN optimization problem based on fitness functions and binary coding schemes. …”
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An Adversarial Attack via Penalty Method by Jiyuan Sun, Haibo Yu, Jianjun Zhao

“…To solve the optimization problem for generating adversarial examples, the latter approach incorporates a misclassifying constraint into the objective using a Lagrangian multiplier or penalty parameter, usually determined by binary search. …”
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Scalable and energy-efficient task allocation in industry 4.0: Leveraging distributed auction and IBPSO. by Qingwen Li, Tang Wai Fan, Lam Sui Kei, Zhaobin Li

“…The paper outlines a unique method of decentralizing auctions to handle basic tasks. It also introduces an improved variant of the improved Binary Particle Swarm Optimization (IBPSO) algorithm to manage complicated tasks that require multi-robot collaboration. …”
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Titanate–polyurethane–chitosan ternary nanocomposite as an efficient coating for steel against corrosion by Ahmed S. Abdellatif, Mohammed Shahien, Ashraf M. El-Saeed, Ayman H. Zaki

“…The obtained results revealed that the binary composite of PU and 1.5% Na-TNTs exhibited remarkable anticorrosion activity among all the binary composites where the disbonded area 5% compared to blank PU 19% and adhesion 5.1 MPa compared to blank 3.5 MPa, while the ternary composite containing 4% chitosan exhibited the best anticorrosion activity where the disbonded area 2% and also exhibit better adhesion 7.9 MPa.…”
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PHOTONICS TECHNOLOGY AS A WAY FOR UPGRADING KEY TECHNICAL FEATURES OF RADIO-SIGNAL DELAY DEVICES by T. N. Bakhvalova, M. E. Belkin, I. V. Gladyshev, S. A. Kudzh, A. S. Sigov

“…Based on the previous results for our investigations of various retarding materials for super-wide bandwidth long-term delay lines and shortcomings of the available fiberoptic delay links based on binary delay chain where semiconductor optical switches are used to switch in or out delay segments that are binary multiples of a minimum delay, the principles of optimization and design of next-generation fiber-optics radio-frequency delay devices are proposed. …”
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A Two-Step Algorithm for Handling Block-Wise Missing Data in Multi-Omics by Sergi Baena-Miret, Ferran Reverter, Alex Sánchez, Esteban Vegas

“…Furthermore, we have updated the bwm R package, which previously supported binary and continuous response types, to also include multi-class response types.…”
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A Learning Framework of Nonparallel Hyperplanes Classifier by Zhi-Xia Yang, Yuan-Hai Shao, Yao-Lin Jiang

“…A novel learning framework of nonparallel hyperplanes support vector machines (NPSVMs) is proposed for binary classification and multiclass classification. …”
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Identification of significant bio-markers from high-dimensional cancerous data employing a modified multi-objective meta-heuristic algorithm by Prajna Paramita Debata, Puspanjali Mohapatra

“…To assess the efficacy of the designed algorithm, ten binary and multi-class cancerous datasets are considered. …”
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Research on Multi-peak MPPT of Photovoltaic Array Based on Improved ICA Algorithm by ZANG Xiaodi, LIU Lu

“…Firstly, in order to enhance the global search performance of the ICA, the assimilation process of the ICA is improved by using simulated binary cross learning method. Secondly, the adaptive revolution factor is introduced to improve the local optimization ability of the algorithm, and the optimal value selection mechanism is used to retain the excellent factor of the original empire to improve the convergence speed of the algorithm. …”
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A decomposition approach for integrated locomotive scheduling and driver assignment in rail freight transport by Andreas Bärmann, Alexander Martin, Jonasz Staszek

“…Our aim is to compute an optimal simultaneous assignment of locomotives and drivers to the trains listed in a given order-book. …”
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Seismic traveltime inversion with quantum annealing by Hoang Anh Nguyen, Ali Tura

“…The seismic inversion problem is first converted into a Quadratic Unconstrained Binary Optimization problem, which the quantum annealer is specifically designed to solve. …”
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Threat analysis model to control IoT network routing attacks through deep learning approach by K. Janani, S. Ramamoorthy

“…The IoT routing dataset is then augmented into larger volumes using ADASYN, which is also used to solve the class imbalance problems. …”
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A Novel Minimization Method for Sensor Deployment Via Heuristic 2-Sat Solution by Waleed Ahmed, Ali Muhammad Ali Rushdi

“…Generally, minimization can be done using optimization techniques such as linear programming, but in case of sensor deployment or guard placement there is a need either to place or not to place the sensor or guard, and hence only Boolean or binary values are used. …”
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Robust Planning for Hydrogen-Based Multienergy System Considering P2HH and Seasonal Hydrogen Storage by Shufan Wang, Dong Yang, Linglu Zhang, Lingzhi Chenmei

“…Meanwhile, we also consider the N-1 contingency constraints to make the technology selection, capacity allocation, and economic operation more reliable. …”
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Synthesis and application of MgCuAl-layered triple hydroxide/carboxylated carbon nanotubes/bentonite nanocomposite for the effective removal of lead from contaminated water by Usman M. Ismail, Ahmed I. Ibrahim, Sagheer A. Onaizi, Muhammad S. Vohra

“…Further, distinct peaks appearing on the FTIR and XRD spectra of the single materials also appeared on the synthesized composites (including the binary combinations of the parental materials), hence, further indicating the successful synthesis of the targeted adsorbents. …”
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Detection Model for 5G Core PFCP DDoS Attacks Based on Sin-Cos-bIAVOA by Zheng Ma, Rui Zhang, Lang Gao

“…A 5G core network DDoS attack detection model is been proposed which utilizes a binary improved non-Bald Eagle optimization algorithm (Sin-Cos-bIAVOA) originally designed for IoT DDoS detection to select effective features for DDoS attacks. …”
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Cloud edge end network resource allocation for thermostatically controlled load aggregation regulation by Yi LIU, Xin WU

“…Thermostatically controlled load is a flexible load that controls temperature regulation, such as air conditioning and electric water heaters.As a crucial demand side resource, flexible aggregation and regulation of load clusters can fully mobilize clean energy consumption capacity and ensure the balance between supply and demand of the power grid.Due to the common occurrence of thermostatically controlled loads in commercial office buildings and residential areas, a relatively stable control and transmission method can be adopted.Therefore, an efficient hierarchical transmission network is introduced to achieve data transmission and information interaction between loads and the power grid, and to flexibly, real-time, and accurately utilize the adjustable potential of load clusters.Firstly, an information interaction architecture of load IoT which structured “central cloud-edge cloud-regional load controller-thermostatically controlled load”was proposed.Then, for the “end edge”part, considering the requirements of different aggregation control tasks, an improved clustering algorithm was used to classify the tasks and reduce transmission overhead.For the “end-side” part, an improved clustering algorithm was used to optimize the transmission distance.For the edge-cloud collaboration part, a subchannel resource allocation algorithm was designed based on stable matching and water injection algorithms.The binary particle swarm optimization algorithm was used to solve the task upload decision problem.Finally, the effectiveness of the proposed model and algorithm is verified through simulation, and comparative experiments are also conducted.…”
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