Minimum Revenue Guarantee and Toll Revenue Cap Optimization for Ppp Highways: Pareto Optimal State Approach by Yuanqing Wang, Zihua Li, Yanan Gao

“…Because the traditional Discount Cash Flow method does not consider the risk factors, this paper proposes to use Monte Carlo simulation and scatter search algorithm to calculate the optimal values of the Minimum Revenue Guarantee and Toll Revenue Cap under different objectives. …”
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Design of the optimal groundwater quality monitoring network using a genetic algorithm based optimization approach by Somaye Janatrostami, Ali Salahi

“…Hence, EC was selected as a quality parameter in the design of the monitoring network in this study. Materials and methods: Genetic optimization algorithm (GA) was used to search for optimal quality monitoring network. …”
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Optimization of Body Size and Centroid Position of the Quadruped Robot based on Improved Particle Swarm Optimization Algorithm by Kai Tang, Huanlong Wu, Liang′an Zhang, Ranming Ji, Yongjie Zhao, Xiaoyi Wang, Xinjian Lu

“…Taking the quadruped robot as research object， a method to optimize body size and centroid position of the quadruped robot based on improved particle swarm optimization algorithm to enhance its stability is proposed. …”
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Operation Optimization Strategy of Commercial Combined Electric Heating System Based on Particle Swarm Optimization Algorithm by WANG Qing, LI Congcong, WANG Pingxin, WU Qingqing, CAI Xiaoyu

“… In order to improve the energy efficiency of the electric heating system, a particle swarm optimization (PSO, Particle Swarm Optimization)-based operation optimization strategy for the direct storage combined electric heating system is proposed.A mathematical model of influencing factors inside and outside the walls of electric heating buildings is established, and the simulink toolbox in matlab is used to build the overall system under the premise of determining the quantity of electric heating.Combining demand response ideas, the objective function is to establish the minimum heating and electricity cost of the user, and different sub-modules are selected to form the control module to achieve simulation verification, and the inverse cosine method is used to update the improved particle swarm algorithm to update the learning factor to solve the set objective function.Finally, through a calculation example of electricity consumption data of an enterprise in Jinan, Shandong, comparing energy consumption and economy can be obtained: the total energy consumption throughout the day is lower than the actual energy consumption, and the electricity bill is reduced by 17.16% compared with the unoptimized time.…”
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Optimal Feature Selection and Classification for Parkinson’s Disease Using Deep Learning and Dynamic Bag of Features Optimization by Aarti, Swathi Gowroju, Mst Ismat Ara Begum, A. S. M. Sanwar Hosen

“…Our method combines neural network-based feature extraction with a strong optimization technique to dynamically choose the most relevant characteristics from biological data. …”
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Presentation of Malaria Epidemics Using Multiple Optimal Controls by Abid Ali Lashari, Shaban Aly, Khalid Hattaf, Gul Zaman, Il Hyo Jung, Xue-Zhi Li

“…The optimality system is solved numerically by a competitive Gauss-Seidel-like implicit difference method. …”
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Application of the Fuzzy Optimal Model in the Selection of the Startup Hub by Xinman Zhu, Jie Dai, Haoran Wei, Debing Yang, Weilun Huang, Zhang Yu

“…Lastly, the best idle land resulted in this case study with equal decision-making power using the fuzzy method is Taipei Jianguo Brewery, and the difference of decision-making power might make the best idle land to be Wanbao Textile Factory.…”
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APPLICATION OF HYBRID RANDOM SEARCH METHOD TO OPTIMISATION OF ENGINEERING SYSTEMS’ PARAMETERS by A. V. Panteleev, D. A. Rodionova

“…The obtained method is applied to the optimization of parameters of different engineering systems. …”
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A black-winged kite optimization algorithm enhanced by osprey optimization and vertical and horizontal crossover improvement by Yancang Li, Binli Shi, Weitao Qiao, Zunfeng Du

“…Second, the stochastic difference variant method is implemented to prevent the method from entering the local optima. …”
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Optimal Feature-Guided Position-Shape Dual Optimization for Building Point Cloud Facade Detail Enhancement by Shiming Li, Fengtao Yan, Kaifeng Ma, Qingfeng Hu, Feng Wang, Wenkai Liu

“…This study introduces an efficient method for semantic structural detail enhancement of building facade point clouds, achieved through feature-guided dual-layer optimization of position and shape. …”
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The Optimization Design of Variable Valve Parameters for Internal Combustion Engines Considering the Energy Consumption of a Composite Electromagnetic Valve Mechanism by Xinyu Fan, Juyi Han, Jie Yin, Li Zheng, Wei Shao

“…First, it analyzes the effects of different valve timing parameters and drive modes on engine performance; second, a multi-objective game theory optimization algorithm is employed to optimize the valve timing parameters and obtain the optimal solution set; finally, taking into account the energy consumption of the valve mechanism, engine emissions, and performance, a control strategy for valve timing parameters is developed based on an entropy-weighted method combined with a superiority and inferiority solution distance analysis. …”
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In vitro micropropagation protocols for two endangered Dianthus species - via in vitro culture for conservation and recultivation purposes by Dóra Farkas, Judit Csabai, Angéla Kolesnyk, Pál Szarvas, Judit Dobránszki

“…Conclusions In vitro micropropagation methods were developed for two endangered Dianthus species (D. giganteiformis subsp. pontederae and D. superbus subsp. superbus) by determining the optimal type of cytokinin to be used during the multiplication phase. …”
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Refined Assessment Method of Offshore Wind Resources Based on Interpolation Method by Wenchuan Meng, Zaimin Yang, Zhi Rao, Shuang Li, Xin Lin, Jingkang Peng, Yuwei Cao, Yingquan Chen

“…The objective is to identify the optimal interpolation method and apply it to wind energy assessments in the South China Sea. …”
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CALCULATION OF WEIGHT COEFFICIENTS IN CONTINUOUS PARTICLE FILTER by K. A. Rybakov

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Multi-objective vessel routing problems with safety considerations: A review by Nazanin Sharif, Mikael Rönnqvist, Jean-François Cordeau, Jean-François Audy, Gurjeet Warya, Trung Ngo

“…The maritime industry faces the challenge of enhancing vessel route optimization for safety, operational efficiency, and cost-effectiveness. …”
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Enhanced Global Optimization Using a Novel Hybrid Sine Cosine-Gazelle Algorithm with Brownian Motion and Lévy Flight Mechanisms by Gyan Singh, Saptadeep Biswas, Absalom El-Shamir Ezugwu, Vladimir Simic, Uttam Kumar Bera, Kashif Saleem, Laith Abualigah

“…It provides an effective solution for addressing complex real-world optimisation problems across different domains.…”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

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Optimization of α-mangostin and catechins compound extraction from mangosteen skin extract (Garcinia Mangostana L.) as potential antioxidant using combination method of microwaved... by Hakun Wirawasista Aparamarta, Muhammad Rizky Sanjaya, Rigen Azimatarrusydi, Tepy Lindia Nanta, Arief Widjaja, Michael W.Y. Chan

“…Subsequent purification using the BSE method further refined the extract by exploiting polarity differences. …”
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Intelligent optimization algorithm based on benchmarking by Anshi XIE

“…Many of the issues in scientific research,engineeringand management can be transformed into optimization problems.The various methods applied to these problems were a variety of models.Designing different methods was designing different models.The theme was to model the benchmarking philosophy in business management as a meta-heuristic search method for single objective bound-constrained real-parameter optimization problems.According to the principle of Occam’s Razor,many complicated operators and their probability tuning rules were abandoned and a simple framework was used to organize the core operators to achieve the effect of many composition algorithms.…”
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Prediction method of oil-water interface between injection and production wells in fault-controlled fractured-cavity reservoirs by WANG Yuanzheng, CAO Renyi, JIA Pin

“…Furthermore, with the increase of cavern volume and fracture conductivity difference between injection and extraction wells, the oil-water co-production period will become longer. …”
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