The Biobjective Bike-Sharing Rebalancing Problem with Balance Intervals: A Multistart Multiobjective Particle Swarm Optimization Algorithm by Yongji Jia, Yuanyuan Xu, Dong Yang, Jia Li

“…Then, a multistart multiobjective particle swarm optimization (MS-MOPSO) algorithm is proposed to solve the model such that the Pareto optimal solutions can be derived. …”
Get full text

Optimized production and antiviral activity evaluation of recombinant chicken interferon-alpha using an improved Baculovirus expression system by Yuxia Zhang, Wenwen Dong, Feng Li, Kai Meng, Guiming Li, Xiaoyuan Yuan

Get full text

Using GIS-Based Tools for the Optimization of Solid Waste Collection and Transport: Case Study of Sfax City, Tunisia by Amjad Kallel, Mohamed Moncef Serbaji, Moncef Zairi

“…The actual state (Scenario S0) was evaluated, and by modifying its particular parameters, other scenarios were generated and analyzed to identify optimal routes: S1, route optimized with the same working resources (change of stops sequencing only); S2, route optimized with change of vehicles; and S3, route optimized with change of collection method (vehicles and reallocation of bins). …”
Get full text

Optimizing fast charging protocols for lithium-ion batteries using reinforcement learning: Balancing speed, efficiency, and longevity by Khairy Sayed, Mahmoud Aref, Mishari Metab Almalki, Mahmoud A. Mossa

Get full text

Application of Box-Behnken Design in Optimization of Glucose Production from Oil Palm Empty Fruit Bunch Cellulose by Satriani Aga Pasma, Rusli Daik, Mohamad Yusof Maskat, Osman Hassan

“…A three-level Box-Behnken design combined with the canonical and ridge analysis was employed to optimize the process parameters for glucose production from OPEFB cellulose using enzymatic hydrolysis. …”
Get full text

Optimizing heat transfer in a finned rectangular latent heat storage system using response surface methodology by Mohammadreza Ebrahimnataj Tiji, Sina Rezaei, Khashayar Hosseinzadeh, Sami Kaplan, Pouyan Talebizadehsardari, Amir Keshmiri

Subjects: Get full text

Optimization of In Vivo Studies by Combining Planar Dynamic and Tomographic Imaging: Workflow Evaluation on a Superparamagnetic Nanoparticles System by Maritina Rouchota, Alessio Adamiano, Michele Iafisco, Eirini Fragogeorgi, Irineos Pilatis, Gilles Doumont, Sébastien Boutry, Daniele Catalucci, Argyro Zacharioudaki, George C. Kagadis

“…The administration routes that have been studied provide a wide range of possible target tissues, for various diseases. Studies can be optimized following this workflow, as it is possible to quickly assess more parameters in a small number of animals (injection route, dosage, and fasting conditions). …”
Get full text

Effect of ZrB2 Particles on Machining Parameters of AA7475 Alloy-Based Composites by Optimization Technique by C. R. Mahesha, R. Suprabha, R. Suresh Kumar, Chirumamill Mallika Chowdary, Viyat Varun Upadhyay, M. Soumya, Essam A. Al-Ammar, Sivasankar Palaniappan, Abdi Diriba

“…A surface roughness (Ra) and metal removal rate (MRR) multiobjective optimization model was built, and a set of ideal parameter combinations was produced, with the surface roughness of ZrB2/AA7475 material matrix composites being lower than that of the nonreinforced alloys at the same cutting speed.…”
Get full text

Optimization of WEDM process parameters for machining hybrid composites (LM6/B4C/Fly Ash) by Jayavelu Udaya Prakash, Charles Sarala Rubi, Sunder Jebarose Juliyana, Sachin Salunkhe, Sachin Salunkhe, H. B. Özerkan, Lenka Cepova

“…Aluminium alloys have found widespread applications in surgical components, shipbuilding, aircraft, automobiles, and inhaling gas cylinders for scuba diving, due to its good strength, and light weight properties.MethodsThe main aim of this investigation is to optimize different process variables for LM6/B4C/Fly ash particle reinforced hybrid composites using WEDM to attain performance metrics such as maximum material removal rate (MRR) and minimal surface roughness (SR). …”
Get full text

Construction and Optimization of Integrated Yield Prediction Model Based on Phenotypic Characteristics of Rice Grown in Small–Scale Plantations by Jihong Sun, Peng Tian, Zhaowen Li, Xinrui Wang, Haokai Zhang, Jiangquan Chen, Ye Qian

“…Subsequently, the top three models with the best performance in individual model predictions are integrated using voting and stacking ensemble methods to obtain the optimal integrated model. Finally, the impact of different rice phenotypic traits on the performance of the stacked ensemble model is explored. …”
Get full text

Application of GA-BP Neural Network Optimized by Grey Verhulst Model around Settlement Prediction of Foundation Pit by C. Y. Liu, Y. Wang, X. M. Hu, Y. L. Han, X. P. Zhang, L. Z. Du

“…The predicted values of the BP neural network, GA-BP neural network, BP neural network optimized by the grey Verhulst model, and GA-BP neural network optimized by the grey Verhulst model are detailed compared with the measured values. …”
Get full text

Optimizing work movements to reduce injury risk: Application development with Methods-Time Measurement and WebQual analysis by Ari Muzakir, Adhie Tri Wahyudi, Yuli Dwi Astanti, Christofora Desi Kusmindari

Subjects: Get full text

Simultaneous Planning of the Medium and Low Voltage Distribution Networks under Uncertainty: A Bi-Level Optimization Approach by Abdollah Rastgou, Saman Hosseini-Hemati

Get full text

A Data Decomposition and End-to-End Optimization-Based Monthly Carbon Emission Intensity of Electricity Forecasting Method by Yue Yan, Haoran Feng, Jinwei Song, Shixu Zhang, Shize Zhang, Qi He

“…To ensure that the decomposed data effectively improves the predictor’s performance, we propose an end-to-end optimization strategy. This strategy feeds back the predictor’s performance on actual monthly data as optimization target to the generator and uses differential evolution algorithms (DEA) to optimize and adjust the decomposed data. …”
Get full text

Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care by Annarita Vignapiano, Annarita Vignapiano, Francesco Monaco, Francesco Monaco, Stefania Landi, Luca Steardo, Carlo Mancuso, Claudio Pagano, Gianvito Petrillo, Alessandra Marenna, Martina Piacente, Stefano Leo, Carminia Marina Ingenito, Rossella Bonifacio, Benedetta Di Gruttola, Marco Solmi, Marco Solmi, Marco Solmi, Marco Solmi, Maria Pontillo, Giorgio Di Lorenzo, Giorgio Di Lorenzo, Alessio Fasano, Alessio Fasano, Alessio Fasano, Giulio Corrivetti, Giulio Corrivetti

“…By integrating patient data, empowering individuals with ASD, and supporting healthcare professionals, this platform aims to transform care accessibility, personalize treatment approaches, and optimize the entire care journey. Rigorous data governance measures will ensure ethical and secure data management. …”
Get full text

From Maximization to Optimization: A Paradigm Shift in Rice Production in Thailand to Improve Overall Quality of Life of Stakeholders by Ryoichi Doi, Supachai Pitiwut

“…In practice, however, yield maximization does not necessarily lead to maximum socioeconomic welfare. Optimization is therefore necessary to ensure quality of life of farmers and other stakeholders. …”
Get full text

Research on RTD Fluxgate Induction Signal Denoising Method Based on Particle Swarm Optimization Wavelet Neural Network by Xu Hu, Na Pang, Haibo Guo, Rui Wang, Fei Li, Guo Li

Subjects: Get full text

Optimal dietary vitamin E level facilitates ovarian development of female largemouth bass (Micropterus salmoides) broodstock by Qiuyu Gao, Qiao Feng, Dong Zhou, Zhili Ding, Changle Qi, Youqin Kong, Qiyou Xu

“…Additionally, 209.31 mg/kg of vitamin E also significantly increasing the immunity by reducing the activities of glutamic oxaloacetic transaminase and glutamic pyruvic transaminase in the serum, while increased the activities of alkaline phosphatase and acid phosphatase when compared to the 78.25 and 915.49 mg/kg groups (P < 0.05). 209.31 and 437.77 mg/kg of vitamin E significantly enhanced the antioxidant capacity of fish (P < 0.05). The optimal dietary vitamin E requirement was determined as 255.10–292.72 mg/kg based on GSI, absolute fecundity, and the expression levels of vg and vgr. …”
Get full text

An Interpretable Model for Salinity Inversion Assessment of the South Bank of the Yellow River Based on Optuna Hyperparameter Optimization and XGBoost by Xia Liu, Yu Hu, Xiang Li, Ruiqi Du, Youzhen Xiang, Fucang Zhang

Subjects: Get full text

A data driven machine learning approach for predicting and optimizing sulfur compound adsorption on metal organic frameworks by Mohsen Shayanmehr, Sepehr Aarabi, Ahad Ghaemi, Alireza Hemmati

“…Finally, the desulfurization process optimization indicated the maximum DBT adsorption of 161.6 mg/g for Zr-based MOF could be achieved when the features including BET, TPV, pore size, oil/adsorbent ration, and temperature were tuned around 756 m2/g, 0.955 cm3/g, 5.96 nm, 449.85 g/g, 20.1 °C, respectively.…”
Get full text