A nonrevisiting genetic algorithm based on multi-region guided search strategy by Qijun Wang, Chunxin Sang, Haiping Ma, Chao Wang

“…Except for the conventional genetic operations, the offspring can also be generated through multi-region guided search strategy, where the current solution is first navigated to one of the candidate search regions and is further updated towards the direction of the optimal solution in the search history to speedup convergence. …”
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A hybrid ensemble framework with particle swarm optimization for network anomaly detection by Narinder Verma, Neerendra Kumar, Gourav Kumar, Kuljeet Singh

“…We evaluate multiple machine learning models, including Decision Trees (DT), Artificial Neural Networks (ANN), K-Nearest Neighbors (KNN), Random Forests (RF), and an ensemble of these models for both binary and multi-class classification tasks. By incorporating adaptive mechanisms within the PSO algorithm, our framework dynamically adjusts hyperparameters during optimization, enhancing model robustness and convergence speed. …”
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Optimal restoration algorithm for active distribution network considering island mode of the microgrids by J. Marín Quintero, J. Ayala Uribe, O. Bernal, C. Orozco Henao

“…This paper introduces a restoration strategy for Active Distribution Networks based on the Binary Grey Wolf Optimization (BGWO) algorithm. The approach accounts for the island operation mode of MGs and leverages the controllability of intelligent electronic devices (IEDs). …”
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Extracting Optimal Number of Features for Machine Learning Models in Multilayer IoT Attacks by Badeea Al Sukhni, Soumya K. Manna, Jugal M. Dave, Leishi Zhang

“…The proposed framework managed to extract an optimal set of 13 significant features out of 64 in the Edge-IIoT dataset, which is crucial for the efficient detection and classification of multilayer attacks, and also outperforms the performance of the KNN model compared to other classifiers in binary classification. …”
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Jointly Optimized Placement of Application VM and VNF in NFV Based Data Center by Dandan Qi, Ruijun Gu

“…This paper is the first to deal with the problem of the joint optimization problem of AppVM and VNF placement. Firstly, we model the problem of the joint optimization problem of AppVM and VNF placement as a binary integer linear programming model. …”
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Theoretical justification of the model of search for optimal solutions in complex resource management systems by Roman A. Khalturin, Roman O. Sudorgin, Nikita S. Akinshin

“…For deterministic optimization tasks, the model includes a set of feasible solutionsXXand a vector criterionf(x)f(x)to evaluate alternatives. …”
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Identification of optimal Sentinel-1 SAR polarimetric parameters for forest monitoring in Czechia by Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Přemysl Štych

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High-Resolution Melting PCR as a Fast and Simple Molecular Biology-Based Method for the Identification of Hypervirulent <i>Clostridioides difficile</i> Strains Directly in Stool Sa... by Tomasz Bogiel, Robert Górniak, Weronika Ambroziak, Szymon Zieliński, Dominika Anna Zieja, Piotr Kanarek

“…The sensitivity, specificity, negative predictive value (NPV) and positive predictive value (PPV) of the established method were also assessed. The obtained results were compared with the results of eazyplex^® C. difficile complete test (AmplexDiagnostics GmbH) based on the LAMP method, used in standard microbiological diagnostics. …”
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Design and Performance Optimization of Split Capacitor Digital-to-Analog Converter(DAC) for SAR-ADCs by Bandla Kasi, Iqubal Asif, Pal Dipankar

“…Also, it reduces the capacitive mismatch associated with capacitive DAC designs. …”
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Optimization of Communication Signal Adversarial Examples by Selectively Preserving Low-Frequency Components of Perturbations by Yi Zhang, Lulu Wang, Xiaolei Wang, Dianxi Shi, Jiajun Bai

“…As a result, selectively preserving LFCP is established as the fundamental concept of the optimization strategy. By utilizing the binary search algorithm, which considers the inconsistency in the model’s predictions as a constraint, LFCP can be effectively identified, and the aim of minimizing perturbed distortion while maintaining ASR can be achieved. …”
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INTEGRATED EXPLORATION OF GEOTHERMAL RESOURCES by A. B. Alkhasov, D. A. Аlkhasova, R. M. Aliyev, A. Sh. Ramazanov

“…We propose the technology of integrated exploration of low-grade geothermal resources with the application of heat and water resource potential on various purposes. We also argue for the possibility of effective exploration of geothermal resources by building a binary geothermal power plant using idle oil and gas wells. …”
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Optimizing Long-Term Bank Financial Products Portfolio Problems with a Multiobjective Evolutionary Approach by Jian Xiong, Chao Zhang, Gang Kou, Rui Wang, Hisao Ishibuchi, Fawaz E. Alsaadi

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MRI-Driven Alzheimer’s Disease Diagnosis Using Deep Network Fusion and Optimal Selection of Feature by Muhammad Umair Ali, Shaik Javeed Hussain, Majdi Khalid, Majed Farrash, Hassan Fareed M. Lahza, Amad Zafar

“…The results were compared with other optimal feature selection techniques, showing that the binary-enhanced WOA results are statistically significant (<i>p</i> < 0.01). …”
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Ultra-High Capacity DWDM System using Different Intensity Modulation Formats by Abbas Alipoor, Ali Mir, Akram Sheikhi

“…Also, the transmission parameters of proposed system is optimized to achieve the Max quality factor. …”
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Optimization of Base Location and Patrol Routes for Unmanned Aerial Vehicles in Border Intelligence, Surveillance, and Reconnaissance by Yao Liu, Zhong Liu, Jianmai Shi, Guohua Wu, Chao Chen

“…A binary integer programming model is developed to formulate the problem, and two heuristic algorithms combined with local search strategies are designed for solving the problem. …”
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Intelligent intrusion detection system based on crowd search optimization for attack classification in network security by Chetan Gupta, Amit Kumar, Neelesh Kumar Jain

“…We have developed the hybrid model based on crow search optimization (CSO) and random forest (RF) algorithm for identifying threats and irregularities in a computer network. …”
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A study of morpho-phonological processes in the Zanjani dialect of Azerbaijani Turkish based on optimality theory by farnaz ebadi, Mohammad Reza Oroji, Sakine Jafari, Mehri Talkhabi

“…The core logic of Optimality is based on the premise that constraints cannot be interpreted as binary (satisfied or violated), but rather they are ranked based on their relationship to each other. …”
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Left ventricular segmentation method based on optimized UNet and improved CBAM: ESV and EDV tracking study. by Kerang Cao, Miao Zhao, Minghui Geng, Shuai Zheng, Hoekyung Jung

“…This paper introduces an optimized nested UNet model for automated left ventricular segmentation in cardiac function assessment. …”
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Managing Operational Efficiency and Reducing Aircraft Downtime by Optimization of Aircraft On-Ground (AOG) Processes for Air Operator by Iyad Alomar, Diallo Nikita

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Performance Evaluation of MRMED Algorithm by Monitoring BER by SYED RIZWAN-UL-HASAN, Muhammad Tahir

“…Thereafter, encoded RM message is XORed with optimal binary string, which results lower Peak to Average Power ratio (PAPR).  …”
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