Robust Optimal Excess-of-Loss Reinsurance and Investment Problem with Delay and Dependent Risks by Yan Zhang, Peibiao Zhao

“…Finally, we give the proof of the verification theorem. Our models and results posed here can be regarded as a generalization of the existing results in the literature.…”
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Optimized Steffensen-Type Methods with Eighth-Order Convergence and High Efficiency Index by F. Soleymani

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Guided Particle Swarm Optimization for Feature Selection: Application to Cancer Genome Data by Simone A. Ludwig

“…In addition, the algorithm is tested on very-high-dimensional genome data that include up to 44,909 features. Results of an experimental comparison with other state-of-the-art feature selection algorithms show that the proposed algorithm produces overall better results.…”
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Multi-target property prediction and optimization using latent spaces of generative model by Anirudh Jain, Markus Heinonen, Heikki Käsnänen, Julius Sipilä, Samuel Kaski

“…We additionally present results demonstrating promising performance in property prediction in these generative models does not translate to optimization. …”
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A Building-Block Favoring Method for the Topology Optimization of Internal Antenna Design by Yen-Sheng Chen

“…The simulated and measured results show that the proposed technique significantly outperforms the conventional topology optimization.…”
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Statistical Evaluation and Optimization of Factors Affecting the Leaching Performance of Copper Flotation Waste by Semra Çoruh, Sermin Elevli, Feza Geyikçi

“…Copper flotation waste generally contains a significant amount of Cu together with trace elements of other toxic metals, such as Zn, Co, and Pb. …”
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Structure Optimization in Deep Neural Networks with Synaptic Pruning Based on Connection Appraisal by Aghil Ahmadi, Reza Mahboobi Esfanjani

“…Dynamic structure optimization through pruning can reduce network redundancy, but it often results in performance degradation. …”
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A Modified Social Spider Optimization for Economic Dispatch with Valve-Point Effects by Wenqiang Yang, Tingli Cheng, Yuanjun Guo, Zhile Yang, Wei Feng

“…Economic dispatch (ED) aims to allocate the generation of units to minimize the total production cost. This dispatch is generally formulated with nonsmooth and nonconvex cost function due to valve-point effects and various constraints, where the conventional methods are inapplicable. …”
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Balanced dung beetle optimization algorithm based on parameter substitution and escape strategy by Chen-Xu Tian, Yu-Xuan Li

“…The effectiveness of the improved strategy is verified by comparing the CEC2017 benchmark function with the single strategy variant. The experimental results show that BDBO algorithm is superior to other algorithms in terms of convergence accuracy and generalization ability, and the accuracy improvement percentage is 35.29% compared with DBO algorithm. …”
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COD Optimization Prediction Model Based on CAWOA-ELM in Water Ecological Environment by Lili Jiang, Liu Yang, Yang Huang, Yi Wu, Huixian Li, XiYan Shen, Meng Bi, Lin Hong, Yiting Yang, Zuping Ding, Wenjie Chen

“…In the CAWOA, the global optimization results of the WOA are promoted by introducing a sin chaotic search strategy and adaptive inertia weights. …”
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Optimization of the Mathematical Model of Cyclone Separation Performance Based on Response Surface Analysis by Longfei CONG, Shengyu WANG, Jiajing LUO, Changchun ZHOU

“…Through the analysis of 17 groups of test results by design expert, the following results are obtained: classification efficiency fitting formulaandgrading granularity fitting formula. …”
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Optimising ice flow law parameters using borehole deformation measurements and numerical modelling by David Chandler, Bryn Hubbard, Alun Hubbard, Tavi Murray, David Rippin

“…Results suggest that a linear rheology dominated by diffusion creep (n = 1) is more appropriate for modelling ice flow in this relatively thin (generally <80 m thick) glacier than the conventional n = 3, and that ELZ is ∼2. …”
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Multiobjective Collaborative Optimization Method for the Urban Rail Multirouting Train Operation Plan by Lianbo Deng, Qi Peng, Li Cai, Junhao Zeng, Nava Raj Bhatt

“…Finally, the proposed model and algorithm are validated with the real data from the Guangzhou Metro Line 2. The results show that the Pareto optimal TOP and dynamic train stopping time are significantly improved compared to the original values.…”
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Study on optimization measures for water level fluctuation of large water conveyance aqueducts. by Jian Chen, Yangyang Tian, Huijie Zhang, Hongling Shi

“…This suggests that shorter tail piers are generally more effective in reducing head loss and improving flow stability. …”
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Machine learning prediction of ammonia nitrogen adsorption on biochar with model evaluation and optimization by Chong Liu, Paramasivan Balasubramanian, Jingxian An, Fayong Li

“…Results show tree-based ensemble models excel, with CatBoost performing best (R² = 0.9329, RMSE = 0.5378) and demonstrating strong generalization. …”
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Optimization Methods and Food Safety Consideration of Edible Film: A Mini Review by Meita Putri Delima, Simon Bambang Widjanarko, Tunjung Mahatmanto

“…Conventional food packaging plastics harm the environment due to their non-biodegradability, resulting in the accumulation of microplastics. Edible films present an eco-friendly packaging alternative capable of extending the shelf life of food products. …”
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Hybrid optimization driven fake news detection using reinforced transformer models by Ganesh Karthik M, Khadri Syed Faizz Ahmad, Sai Geetha Pamidimukkala, Asha Prashant Sathe, Sirisha G.N.V.G, Sitha Ram M, Koteswararao Ch

“…This research highlights the importance of integrating transformers and hybrid optimization to develop generalized, scalable, and accurate fake news detection systems.…”
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A File-Statement Approach for Bug Localization: Optimizing IRBL and Combination Strategy by Zhonghao Guo, Xinyue Xu, Xiangxian Chen, Chenge Geng

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Optimization of wet heat conjugation method for heat stability improvement of whey protein by A’yun Qurrotul, Hidayat Chusnul, Van der Meeren Paul

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An optimized stacking-based TinyML model for attack detection in IoT networks. by Anshika Sharma, Shalli Rani, Mohammad Shabaz

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