Nature inspired optimization of IoT network for delay resistant and energy efficient applications by Gagandeep Kaur, Vipin Balyan, Sindhu Hak Gupta

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Preference-based expensive multi-objective optimization without using an ideal point by Peipei Zhao, Liping Wang, Qicang Qiu

“…Abstract As a decision maker is not always interested in the entire Pareto front, a natural idea is to take into account user preferences in computationally expensive multi-objective optimization to focus on searching the preferred region. …”
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Exploration and Exploitation Mechanism in Pairwise Test Case Generation: A Systematic Literature Review by Muhammad Sabo Yahaya, Ahmad Sobri B. Hashim, Abdullateef Oluwagbemiga Balogun, Aminu Aminu Muazu, Fatima Sabo Usman, Dahiru Adamu Aliyu, Abdullahi Uwaisu Muhammad

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An improved multi-strategy equilibrium optimizer for surface marine vehicle path planning by Jianguo Yu, Yanyang Lu, Hamid Reza Karimi, Derong Zhu, Bin Li, Yiming Wang

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Novel CP model and CP-assisted meta-heuristic algorithm for flexible job shop scheduling with preventive maintenance by Lixin Zhao, Leilei Meng, Weiyao Cheng, Yaping Ren, Biao Zhang, Hongyan Sang

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Optimizing mRNA Vaccine Degradation Prediction via Penalized Dropout Approaches by Hwai Ing Soon, Azian Azamimi Abdullah, Hiromitsu Nishizaki, Latifah Munirah Kamarudin

“…A novel tetramer-label encoding approach (4-mer-lbA) was proposed, integrating biological relevance with data-driven analysis to enhance predictive accuracy. To further optimize model performance, two advanced hyperparameter optimization (HPO) techniques—Dropout-Enhanced Technique (DEet) and Hyperparameter Optimization Algorithm Penalizer (HOPeR)—are proposed to mitigate overfitting, address inefficiencies in conventional HPO algorithms (HPOAs), and accelerate model convergence. …”
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BSDR: A Data-Efficient Deep Learning-Based Hyperspectral Band Selection Algorithm Using Discrete Relaxation by Mohammad Rahman, Shyh Wei Teng, Manzur Murshed, Manoranjan Paul, David Brennan

“…Hyperspectral band selection algorithms are crucial for processing high-dimensional data, which enables dimensionality reduction, improves data analysis, and enhances computational efficiency. …”
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An Integrative Computational Approach for Identifying Cotton Host Plant MicroRNAs with Potential to Abate CLCuKoV-Bur Infection by Muhammad Aleem Ashraf, Imran Shahid, Judith K. Brown, Naitong Yu

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Potential accuracy of quasi-optimal radar meters of angular coordinates with scanning multi-channel antenna system by S. V. Kozlov, Vu Thanh Ha

“…We obtained the analytical expressions for the mean square deviation of errors in estimating the angular coordinates of the target for quasi-optimal algorithms of processing the fluctuating signals in radar meters with a scanning multichannel receiving system under external interference. …”
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Design and application research of traditional Chinese medicine teaching resource recommendation system based on multivariate data mining driven algorithm by Wei Zhang, Yaqing Liu, Qiang Zhang, Xiaomin Chen

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An experimental optimization environment for developing an intracycle pitch control in cross flow turbines by Stefan Hoerner, Roberto Leidhold, Shokoofeh Abbaszadeh, Karla Ruiz-Hussmann, Timo Bennecke, Zhao Zhao, Paul Joedecke, Christian-Thoralf Weber, Pierre-Luc Delafin, Cyrille Bonamy, Yves Delannoy

“…A superimposed governing system performs an experimental optimization process. Evolutionary algorithms are to be employed to solve two objectives: (1) maximizing the efficiency and (2) minimizing the structural loads. …”
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Robust personalized pricing under uncertainty of purchase probabilities by Shunnosuke Ikeda, Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano

“…Experimental results demonstrate the effectiveness of our robust optimization model and highlight the utility of our Lagrangian decomposition algorithm in terms of both computational efficiency and solution quality.…”
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Elaboration of the Calculation Algorithm for the Load Diagram of a Thermoelectric Generator that Applies the Temperature Dependent Thermoelectric Layer Properties by Golubev R.O., Stolyarov S.P.

“…The specific power calculation allows defining the performance per a cross-sectional unit area. The optimal selection of variables reduces the computational time. …”
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Three-step surgical management algorithm for annular rupture in transcatheter aortic valve replacementCentral MessagePerspective by Kizuku Yamashita, MD, PhD, Kazuo Shimamura, MD, PhD, Koichi Maeda, MD, PhD, Ai Kawamura, MD, PhD, Masaki Taira, MD, PhD, Daisuke Yoshioka, MD, PhD, Shigeru Miyagawa, MD, PhD

“…However, owing to its rare incidence, the optimal treatment algorithm has not been established. …”
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Fine monitoring method for mangrove wetland ecosystem based on sentinel data fusion and RF optimization by Shuwen Wang, Taisi Chen, Zimin Li, Haitao Sang

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A predictive analytics approach with Bayesian-optimized gentle boosting ensemble models for diabetes diagnosis by Behnaz Motamedi, Balázs Villányi

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AHA: Design and Evaluation of Compute-Intensive Hardware Accelerators for AMD-Xilinx Zynq SoCs Using HLS IP Flow by David Berrazueta-Mena, Byron Navas

“…The increasing complexity of algorithms in embedded applications has amplified the demand for high-performance computing. …”
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Multi-disciplinary optimization of underwater vehicles based on a dynamic proxy model by Shaojun Sun, Weilin Luo

“…To reduce the computational burden in the optimization loop, this paper proposes a dynamic proxy model that combines the trust region with the adaptive minimum confidence Lowest Credible Bound (LCB) and the Synthetic Minority Over-Sampling Technique (SMOTE) algorithm. …”
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Low Sidelobe Sparse Concentric Ring Arrays Optimization Using Modified GA by Ke-song Chen, Yong-yun Zhu, Xiao-long Ni, Hui Chen

“…The proposed method is based on modified real genetic algorithm (MGA); it makes grid ring radii as optimal variables and makes elements more reasonably distributed on the array aperture. …”
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BESO Topology Optimization Driven by an ABAQUS-MATLAB Cooperative Framework with Engineering Applications by Dong Sun, Xudong Yang, Hui Liu, Hai Yang

“…The Bi-directional Evolutionary Structural Optimization (BESO) method, owing to its algorithmic simplicity and strong scalability, has emerged as one of the most prevalent topology optimization methodologies in current research and industrial applications. …”
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