OPTIMIZING PROCESSOR WORKLOADS AND SYSTEM EFFICIENCY THROUGH GAME-THEORETIC MODELS IN DISTRIBUTED SYSTEMS by Merlan Telmanov, Zukhra Abdiakhmetova, Amandyk Kartbayev

“…Additionally, adaptive algorithms for dynamic task allocation are proposed, aimed at enhancing system flexibility and efficiency in real-time processing environments. …”
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Optimized breast cancer diagnosis using self-adaptive quantum metaheuristic feature selection by Alok Kumar Shukla, Shubhra Dwivedi, Deepak Singh, Sunil Kumar Singh, Diwakar Tripathi, Ram Kishan Dewangan

“…Comparative results based on optimal computing time and performance are also offered to empirically analyze the traditional algorithms. …”
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AI driven automation for enhancing sustainability efforts in CDP report analysis by Ramya Rangarajan, Tamilarasi Kathirvel Murugan, Logeswari Govindaraj, Venyaa Venkataraman, Krithik Shankar

“…This paper proposes a novel hybrid approach that combines Genetic Algorithms (GA) with Long Short-Term Memory (LSTM) networks to optimize supply chain sustainability. …”
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A note on 1-semi-greedy bases in p-Banach spaces with 0 < p ≤ 1 by Berná Pablo M., García Andrea, González David

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DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION by Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty

“…We will go one step beyond this by using a Genetic Algorithm in combination with the Neuro-evolution of Augmenting Topologies for optimization not only for neural network architecture and hyperparameters but also for going into the process. …”
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Characteristics of Eddy Dissipation Rates in Atmosphere Boundary Layer Using Doppler Lidar by Yufei Chu, Guo Lin, Min Deng, Zhien Wang

“…Building upon prior research utilizing Doppler lidar wind-field data, we optimized the EDR retrieval algorithm using a genetic adaptive approach. The newly developed algorithm demonstrates enhanced accuracy in EDR estimation. …”
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MDDC: An R and Python package for adverse event identification in pharmacovigilance data by Anran Liu, Raktim Mukhopadhyay, Marianthi Markatou

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A new multi objective optimization model for designing a green supply chain network under uncertainty by Mohammad Mahdi Saffar, Hamed Shakouri G., Jafar Razmi

“…For solving large size problems, the Multi Objective Differential Evolutionary algorithm (MODE) is applied.…”
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Security analysis of public-key cryptosystems based on matrix action problem against quantum attack by Huawei HUANG

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Airport Field Path Optimization Method Based on Conflict Hotspot Avoidance Mechanism by Wen Tian, Mingjian Yang, Xuefang Zhou, Jianan Yin, Xv Shi

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Scalable analytic eigenvalue extraction from a parahermitian matrix by Faizan A. Khattak, Ian K. Proudler, Stephan Weiss

“…We motivate this, and also introduce an enhanced initialisation point for the MLS estimation. …”
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A Novel Performance Evaluation Framework for Sponge City Construction by Le Luo, Lei Yang, Wang Jiang

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Medium- and Long-term Runoff Prediction Based on SMA-LSSVM by TIAN Jinghuan, LI Congxin, LI Ang

“…Medium-and long-term runoff prediction is extremely important for flood control,disaster reduction and the utilization efficiency improvement of water resources.To avoid the influence of prediction model parameters on prediction accuracy,this paper proposes a medium-and long-term runoff prediction model based on least squares support vector machine (LSSVM) optimized by the slime mold algorithm (SMA).Firstly,five standard test functions are selected to compare the simulation results of SMA and particle swarm optimization (PSO) algorithms in different dimensions.Secondly,SMA is used to optimize the penalty parameters and kernel parameters of LSSVM,and the comparison models of LSSVM and PSO-LSSVM are constructed.Finally,the models are verified with the monthly runoff of Manwan Hydropower Station Reservoir and Yingluoxia Hydrological Station as prediction examples.The results show that the mean square error of the SMA-LSSVM model is 29.26% and 7.42% lower than those of the LSSVM and PSO-LSSVM models,respectively,in the monthly runoff prediction of the Manwan station,and 32.61% and 6.61% lower,respectively,in the monthly runoff prediction of the Yingluoxia station.The proposed SMA-LSSVM model has better comprehensive prediction performance and also provides a new method for medium- and long-term runoff prediction.…”
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BiModalClust: Fused Data and Neighborhood Variation for Advanced K-Means Big Data Clustering by Ravil Mussabayev, Rustam Mussabayev

“…In this work, we introduce BiModalClust, a novel clustering algorithm that leverages a bimodal optimization paradigm to overcome these challenges. …”
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Data mining-based optimal assignment of apparel size for mass customization by Zhujun Wang, Cheng Chi, Mengyun Zhang, Xianyi Zeng, Pascal Bruniaux, Jianping Wang, Yingmei Xing

“…Sequentially, we calculated all the possible values of the distance between the target population and the fit models by the enumeration algorithm. Afterward, we assigned the garment sizes for the target population using the abovementioned data mining approaches. …”
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Robust Classification via Finite Mixtures of Matrix Variate Skew-<i>t</i> Distributions by Abbas Mahdavi, Narayanaswamy Balakrishnan, Ahad Jamalizadeh

“…To estimate the parameters of the MVST distribution, we develop an EM-type algorithm that computes maximum likelihood (ML) estimates of the model parameters. …”
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A Novel Linguistic Relational Fuzzy C-Means by Peerawich Phaknonkul, Sansanee Auephanwiriyakul, Nipon Theera-Umpon

“…The proposed algorithm does not defuzzify fuzzy attributes beforehand. …”
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Location Problem - Routing a vehicle with a specified fuel capacity based on a tough time window and customer satisfaction by Mohammad Moshrefi

“…Combining variables related to vehicle fuel capacity and fuel consumption speed has also been applied in this study. In this research, first, a mixed integer linear programming model is presented and then metaheuristic method based on Non-dominated Sorting Genetic Algorithm is proposed to find the optimal solution. …”
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Reliability-based multi-objective optimal design of spatial trusses using NSGA-II by Reza Babaei Semiromi, Ali Keyhani

“…These optimal solutions can provide both safety and reliability for the truss structure. Also, the results indicate that the failure probability of the truss structure reduces by increasing the uncertainty level of load and resistance.…”
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Second law efficiency and thermal entropy generation of 30:70% of glycerol + water based SiO2 nanofluids in a thermosyphon flat plate collector: Experimental and Bayesian artificia... by L.S. Sundar, Sérgio M.O. Tavares, Korada V Sharma, António M.B. Pereira

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