Decision-Making Optimization of Risk-Seeking Retailer Managed Inventory Model in a Water Supply Chain by Wenfang Yu, Guisheng Hou, Baogui Xin

“…Stochastic models can more clearly explain demand uncertainty and are closely related to water supply chains. …”
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Cross‐Attractor Transforms: Improving Forecasts by Learning Optimal Maps Between Dynamical Systems and Imperfect Models by N. Agarwal, D. E. Amrhein, I. Grooms

“…Our approach consistently reduces errors in the Lorenz‐96 system with an imperfect model constructed to produce significant model errors compared to a reference configuration. Optimal pre‐ and post‐processing transforms leverage “shocks” and “drifts” in the imperfect model to make more skillful forecasts of the reference system. …”
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Enhancing the power quality in radial electrical systems using optimal sizing and selective allocation of distributed generations. by Bachirou Bogno, Deli Goron, Nisso Nicodem, S Shanmugan, Dieudonné Kidmo Kaoga, Kitmo, Akhlaque Ahmad Khan, Yasser Fouad, Michel Aillerie

“…The proposed approach is based on the evaluation of the power losses and voltage profiles of the IEEE 33 bus and IEEE 69 bus standards This MATLAB-based method establishes an objective function that converges more quickly to the optimal results.…”
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Multi-Objective Optimization of Steel Pipe Pile Cofferdam Construction Based on Improved Sparrow Search Algorithm by Zaolong Jiang, Chengfang Yang, Hongbo Yue

“…The results indicate that the quality of the optimized construction scheme remains at a high level of 0.90 or more; the duration is shortened by 18 days, a reduction of 21%; and the total cost is reduced by CNY 220,000, saving 3% of the cost.…”
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Parameter Tuning of A Binary Pareto Whale Optimization Algorithm Using Taguchi Grey Relational Analysis by Haleel Aseel Jameel, Dawood Lamyaa Mohammed

“…However, using statistics to estimate the proper values for the algorithm’s parameters will be feasible to make optimization algorithm more robust and effective. The aim of this paper is to investigate the optimal control parameter values for the Binary Pareto Whale Optimization Algorithm BPWOA, which is used for solving maintenance scheduling problem at a power plant. …”
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Optimization of malic anhydrate concentration in manufacturing PP-g-MA compatibilizer on test percent of grafting degree by DENNY AKBAR TANJUNG, NOVESAR JAMARUN, ROSLIANA LUBIS

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Multimodal Transport Path Selection of Cold Chain Logistics Based on Improved Particle Swarm Optimization Algorithm by Changjiang Zheng, Kai Sun, Yuhang Gu, Jinxing Shen, Muqing Du

“…The influence of railway speed improvement is more striking than cost reduction in motivating decision makers to choose railway transport mode in logistics operations.…”
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Unleashed from constrained optimization: quantum computing for quantum chemistry employing generator coordinate inspired method by Muqing Zheng, Bo Peng, Ang Li, Xiu Yang, Karol Kowalski

“…This scheme supports the development of a hierarchical ADAPT quantum-classical strategy, enabling a balanced interplay between subspace expansion and ansatz optimization to address complex, strongly correlated quantum chemical systems cost-effectively, setting the stage for more advanced quantum simulations in chemistry.…”
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Optimal Energy Allocation Scheme in Distributed Estimation for Wireless Sensor Networks over Rayleigh Fading Channels by Eni D. Wardihani, Wirawan, Gamantyo Hendrantoro

“…This paper also investigates the effects of sensor noise observation and propagation losses on the design of optimal energy allocation scheme. The optimal energy allocation scheme suggests the allocation of more energy to sensors with small variance noise of sensor observation.…”
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Optimization of IC Separation Based on Isocratic-to-Gradient Retention Modeling in Combination with Sequential Searching or Evolutionary Algorithm by Šime Ukić, Marko Rogošić, Mirjana Novak, Ena Šimović, Vesna Tišler, Tomislav Bolanča

“…Thus the genetic algorithm methodology proved as a method of choice for gradient optimization in this case. All the calculated/predicted chromatograms were compared with the real sample data, showing more than a satisfactory agreement.…”
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Towards Efficient Bio-Methanation: A Comparative Analysis of Disperser Designs and Process Optimization in Bubble Columns by Florian Klapal, Mark Werner Hlawitschka

“…This study aims to contribute to the optimization of bio-methanation in bubble columns, making it a more viable alternative to stirred tank reactors. …”
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Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach by Alberto Nogales, Diego Guadalupe, Álvaro J. García-Tejedor

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Computational intelligence modeling and optimization of small molecule API solubility in supercritical solvent for production of drug nanoparticles by Jiaxin Liang, Hai Zhao, Shengxue Zhou, Yang Gao

“…The models include gradient boosting (GBDT), extremely randomized trees (ET), and random forest (RF) and tuned using ant colony optimization (ACO). Final models have acceptable results, all with R2 criterion more than 0.9. …”
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An Optimization Method for Manned/Unmanned Aerial Vehicle Collaborative Operation System Architecture Based on PGQNSGA-II by Xinyao Wang, Yunfeng Cao

“…Subsequently, a Quantum Non-Dominated Sorting Genetic Algorithm based on Preference Guidance (PGQNSGA-II) was developed, incorporating an adaptive quantum gate mechanism based on preference information to enhance chromosome updating, ensuring that the probability amplitude of quantum bits aligns more closely with the optimal chromosome. The simulation results demonstrate that the proposed PGQNSGA-II algorithm significantly enhances the global search capability and efficiency compared to traditional quantum genetic algorithms, making it well-suited for optimizing MAV/UAV COS architectures.…”
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Optimization of Oil Yield from the Macro Algae Spirogyra by Solvent Extraction Process Using RSM and ANN by S. Aravind, Debabrata Barik, Nagaraj Ashok

“…The comparative evaluation was done between the RSM and ANN models to select the more precise and accurate model. The coefficient of determination, R2 of 98.92%, and the mean absolute percentage deviation (MAPD) of 0.492% for ANN revealed that the current model created with a network topology of 3 : 11 : 1 with tansig (hyperbolic tangent sigmoid) transfer function in the input layer and purelin (pure linear) transfer function in the output layer trained with trainlm (Levenberg–Marquardt) algorithm found to provide the optimal solution with better accuracy in prediction of the output. …”
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NVH Performance Improvement Method of the Three-in-one Electric Drive System Based on Structural Topology Optimization by Ge Hailong, Zhao Zhiguo, Chen Zhixin

“…Finally, NVH bench performance test was carried out on the electric drive assembly with optimized cover plate. The test results show that compared with the original electric drive assembly, the total sound pressure level of the electric drive assembly optimized cover plate has a certain reduction in different frequency ranges, especially in the middle and high frequency band, and the reduction effect is more significant, reducing 2-4 dB.…”
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Chance-Constrained Optimization of Photovoltaic System Allocation considering Power Loss, Voltage Level, and Line Current by Ibrahim Cagri Barutcu

“…This present study focuses on investigating impact of uncertainties in PV system operating under different irradiance scenarios on power loss with probabilistic constraints in distribution networks instead of precise deterministic limits to contribute more efficient and reliable use of energy. By combining meta-heuristic optimization and MCS technique under one framework, this paper contributes to knowledge base of how to allocate PV plants within distribution networks under chance-constrained strategy. …”
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Energy optimization induces predictive-coding properties in a multi-compartment spiking neural network model. by Mingfang Zhang, Raluca Chitic, Sander M Bohté

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Robust design optimization of five‐phase SynRM for fault‐tolerant operation based on Taguchi method by Mehdi Ghaffari Ghaziani, Hossein Heydari

“…Also, research on five‐phase motors, which have more reliability and torque density than three‐phase motors, is of a great importance. …”
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Emotion regulation, hope, and optimism during the third wave of the COVID-19 pandemic: The role of age and personality. by Elena Carbone, Graziana Lenti, Enrico Sella, Angelica Moè, Erika Borella

“…Personality traits (more consistently emotional stability) contributed to explaining CR and ES use, and greater hopeful and optimistic dispositions.…”
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