A Novel Approach for Portfolio Optimization Using Fuzzy AHP Based on Gustafson Kessel Clustering Algorithm by Yeşim Akbaş, Türkan Erbay Dalkılıç, Serkan Akbaş

“…In addition, in order to examine the effectiveness of the proposed model within the scope of the study, portfolio distributions were obtained with different portfolio optimization methods using the same data set and the results were compared.…”
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Sentence Embedding Generation Framework Based on Kullback–Leibler Divergence Optimization and RoBERTa Knowledge Distillation by Jin Han, Liang Yang

“…To address these issues, this paper introduces two novel methods. First, a sentence embedding generation method based on Kullback–Leibler Divergence (KLD) optimization is proposed, which enhances semantic differentiation between sentence vectors, thereby improving the accuracy of textual similarity computation. …”
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Optimization of preparation process of fermented peanut milk complexed with hypoallergenic protein Ara h 1 and probiotics by SUN Chang, LU Chen-yu, LI Tie-zhu, HU Ji-mei, HUANG Wei

“…Response surface method was used to optimize the preparation process of fermented peanut milk with the maximum reduction of sensitizing protein Ara h 1 content with different inoculation amount, inoculation species, fermentation time and sugar addition amount as factors. …”
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Optimization of magnetic compound fluid polishing process parameters for PMMA workpieces based on grey relational analysis by Youliang WANG, Xichun GAO, Wenjuan ZHANG

“…ObjectivesMCF polishing technology has become an advanced ultra-precision machining method. To address the issue of different process parameters in achieving optimal surface quality or maximum processing efficiency in MCF polishing technology, it is necessary to accurately control the range of each process parameter and deeply understand the impact of different process parameters on MCF polishing performance.MethodsThe process parameters of the MCF polishing tool are optimized based on grey relation analysis (GRA) to meet the requirements of minimum surface roughness while improving material removal efficiency. …”
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Distributed Trajectory Optimization for Connected and Automated Vehicle Platoons Considering Safe Inter-Vehicle Following Gaps by Meiqi Liu, Ying Gao, Yikai Zeng, Ruochen Hao

“…This study proposes a distributed optimization method that decomposes the platoon trajectory planning problem into independent individual vehicle tasks while ensuring safe inter-vehicle following gaps and maximizing travel efficiencyand ride comfort. …”
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A Deep Reinforcement-Learning-Based Route Optimization Model for Multi-Compartment Cold Chain Distribution by Jingming Hu, Chong Wang

“…Extensive experiments on a real-world road network show that our proposed method significantly outperforms four representative methods. …”
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Screening, identification and enzyme production conditions optimization of cellulose-degrading bacteria from the cow and sheep manure by YANG JinBo, DU Zhongping, HAN Rui

“…Using carboxymethyl cellulose (CMC) activity as the screening index, the enzyme production conditions were optimized by single factor tests and response surface tests, and its degradation effect on different stalks was evaluated. …”
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Audio-Based Engine Fault Diagnosis with Wavelet, Markov Blanket, ROCKET, and Optimized Machine Learning Classifiers by Bernardo Luis Tuleski, Cristina Keiko Yamaguchi, Stefano Frizzo Stefenon, Leandro dos Santos Coelho, Viviana Cocco Mariani

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Phase–Frequency Cooperative Optimization of HMDV Dynamic Inertial Suspension System with Generalized Ground-Hook Control by Yihong Ping, Xiaofeng Yang, Yi Yang, Yujie Shen, Shaocong Zeng, Shihang Dai, Jingchen Hong

“…An enhanced fish swarm parameter optimization method identified the optimal solutions for different structural orders. …”
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Novel machine learning driven design strategy for high strength Zn Alloys optimization with multiple constraints by Chenfeng Pan, Wenwen Lin, Jianxing Zhou, Wei Jian, Ka Chun Chan, Yuk Lun Chan, Lu Ren

“…Interpretability analysis of the models was performed using the SHAP method with particle swarm optimization (PSO). Furthermore, a ML-based Zn alloy composition design system (ZACDS) was proposed by integrating the Bayesian optimization algorithm. …”
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A Proposed Approach For Solving Asymmetric Travelling Salesman Problem by Fuzzy Ant Colony Optimization Algorithm by Mehmet Aksaraylı, Osman Pala

“…Ant Colony Optimization Algorithm which is a heuristic method that uses swarm intelligence gives good solutions in solving combinatorial optimization problems. …”
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Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube by Peng Chen, Xiaoli Wang, Rao Fu, Xiaoyan Xiao, Yu Li, Tulin Lu, Tao Wang, Qiaosheng Guo, Peina Zhou, Chenghao Fei

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Optimization of extraction process and antioxidant activity of total flavonoids from Aloe vera stir-fry products by ZENG Lingqin, GUO Jiangtao, LIU Jie, CHEN Zhengyuan, XU Jiahong

“…<b>Methods:</b> Single factor test and response surface method were used to optimize the extraction process, The content of total flavonoids in <i>Aloe vera</i> raw and fried products from different areas was determined by UV spectrophotometry,The antioxidant activity was studied by DPPH·, ABTS⁺·, ·OH and FRAP methods, the correlation between total flavonoids yield and antioxidant activity was analyzed by Pearson correlation. …”
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Optimized Scheduling Under Master-Slave Game Considering Charging Power Segmental Regulation of Electric Vehicles by TENG Changlong, HU Qinran, JI Zhenya, QIAN Tao, LIANG Yiheng

“…The operating costs of the EV aggregators were reduced by 15.1%； moreover， the load peak-valley difference could also be optimized. Compared with the disorderly charging scenarios， the peak-valley difference rate of the proposed method was reduced by 11.6% while reducing the carbon emissions caused by EV charging. …”
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Intelligent Approach to Robust Design Optimization of a Rotor System due to Its Support Stiffness Uncertainty by Bensheng Xu, Chaoping Zang, Genbei Zhang

“…In this paper, an intelligent robust design approach combined with different techniques such as polynomial chaos expansion (PCE), radial basis function (RBF) neural network, and evolutionary algorithms is presented with a focus on the optimization of the dynamic response of a rotor system considering support stiffness uncertainty. …”
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Optimization Design of Automatic Neutral-section Passing Control for High-power AC Freight Electric Locomotive by LIU Huawei

“…The simulation and field test results show that the optimization program helps electric locomotive with heavy haul train successfully pass through the neutral-section under different road conditions and different device states.…”
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Artificial Intelligence-Based Tools for Process Optimization: Case Study—Bromocresol Green Decolorization with Active Carbon by Gabriel Dan Suditu, Elena Niculina Drăgoi, Alexandra Georgiana Apostică, Andra Maria Mănăilă, Veronica Mădălina Radu, Adrian Cătălin Puițel, Mircea Teodor Nechita

“…The study emphasizes that adsorption on active carbon is an effective method for bromocresol green decolorization in wastewater that can be further improved using advanced optimization methods.…”
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Bayesian Optimized ANFIS Network Using Grid Partition and Feature Spectrum for Urban Light Pollution Assessment by Nuoqi Wang, Cheng Wang, Zhihong Zhao, Peiyu Wu, Wenqian Xu, Bang Qin, Dong Wang, Rongjun Zhang, Qi Yao

“…This method can capture the relationships between different parameter combinations while avoiding overfitting, effectively handling unseen data with rapid convergence. …”
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Parametric design and multiple objective intelligent optimization of marine nuclear turbine aerothermodynamics under variable conditions by Lei Zhang, Guobing Chen, Yu-Ang Shi, LuoTao Xie

“…Thus, the proposed method achieved multi-condition, multi-constraint thermodynamic performance design optimization of wet steam turbine blades, thereby providing insights for intelligent design optimization and operation of wet steam turbine cascades.…”
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OPTIMIZATION OF NEURAL NETWORK CLASSIFIERS BY LEVERAGING THE SEQUENTIAL FEATURE ENGINEERING FOR ROBUST WATER QUALITY PREDICTION SYSTEM by Maheswara Rao V V R, Silpa N, Kranthi Addanki, Shiva Shankar Reddy, Ramachandra Rao Kurada, Pachipala Yellamma

“…Venturing into the new world of predictive modelling armed with four different neural network classifiers: Wide, Bilayer, Trilayer, and an Optimized Neural Network. …”
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