Multi-objective optimization research of open and closed air brayton cycle by Meihui Song, Yiran Qian, Yuyang Leng, Tao Liu, Lianyun Yu, Weixiong Chen

“…Based on performance and compactness targets, the multi-objective optimization is carried out to find the optimal design by nondominated sorting genetic algorithm II and entropy weight method. …”
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Study on the Response of Cotton Leaf Color to Plant Water Content Changes and Optimal Irrigation Thresholds by Binbin Mao, Lulu Wang, Junhui Cheng, Bing Chen, Jiandong Wang, Kai Zhang, Xiaowei Liu

“…Currently employed diagnostic methods based on physiological indicators, remote sensing, or soil moisture measurements typically present limitations including cumbersome procedures, high labor intensity, requirements for specialized technical expertise, and delayed results. …”
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Balance Optimization of Energy Consumption and Running Time for Urban Metro Trains by WU Xiao-gang, CHEN Yu, GUO Hao-qi, DU Jiu-yu

“…The linear weighting method is used to quantitatively calculate the optimal cruise speed condition corresponding to the energy consumption and running time of the whole MT, and the energy saving potential of the MT is analyzed from a quantitative perspective to provide reference for the energy saving and efficient operation of the MTs. …”
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Optimization mechanism of attack and defense strategy in honeypot game with evidence for deception by Lihua SONG, Yangyang JIANG, Changyou XING, Guomin ZHANG

“…Using game theory to optimize honeypot behavior is an important method in improving defender’s trapping ability.Existing work tends to use over simplified action spaces and consider isolated game stages.A game model named HoneyED with expanded action spaces and covering comprehensively the whole interaction process between a honeypot and its adversary was proposed.The model was focused on the change in the attacker’s beliefs about its opponent’s real identity.A pure-strategy-equilibrium involving belief was established for the model by theoretical analysis.Then, based on the idea of deep counterfactual regret minimization (Deep-CFR), an optimization algorithm was designed to find an approximate hybrid-strategy-equilibrium.Agents for both sides following hybrid strategies from the approximate equilibrium were obtained.Theoretical and experimental results show that the attacker should quit the game when its belief reaches a certain threshold for maximizing its payoff.But the defender’s strategy is able to maximize the honeypot’s profit by reducing the attacker’s belief to extend its stay as long as possible and by selecting the most suitable response to attackers with different deception recognition abilities.…”
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Numerical simulation of optimal jet angle of water jet assisted disc cutter rock breaking by Anxin WANG, Yiqiang LU, Sheng ZHANG, Jianhong MA, Zhanbiao YANG, Hongyun FAN

“…In order to solve the problems of difficulty in tunneling, serious tool loss and low efficiency of breaking ultra-high strength rock encountered in the construction process of traditional hob, high-pressure water jet has become a new method to improve the efficiency of rock breaking beacuse of its good crush effect on hard rock. …”
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Optimal Dispatch of Distribution Network with Integrated Photovoltaic Storage Power Station Considering Harmonic Control by ZHONG Hao, ZHANG Yonghao, ZOU Xianqiu, WANG Qiujie, LIU Haoyu, WANG Xinghuo

“…[Objective] The flexibility of the power control of grid-connected inverters in integrated photovoltaic storage power stations makes them a good resource for participating in distribution network harmonic control. [Methods] This study proposes a two-layer optimization model for a distribution network with an integrated photovoltaic storage power station considering harmonic control. …”
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Knowledge-Based Shape Optimization of Morphing Wing for More Efficient Aircraft by Alessandro De Gaspari, Sergio Ricci

“…An optimization procedure for the shape design of morphing aircraft is presented. …”
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Reinforcement Learning Based Quantum Circuit Optimization via ZX-Calculus by Jordi Riu, Jan Nogué, Gerard Vilaplana, Artur Garcia-Saez, Marta P. Estarellas

“…We propose a novel Reinforcement Learning (RL) method for optimizing quantum circuits using graph-theoretic simplification rules of ZX-diagrams. …”
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Optimizing the Electrode Geometry of an In-Plane Unimorph Piezoelectric Microactuator for Maximum Deflection by Parker Megginson, Jason Clark, Ryan Clarson

“…After validating the finite element modeling method against experimental data, the geometric parameters of the proposed unimorph model are manipulated to explore the effect of different electrode geometries and layer thicknesses on actuation efficiency. …”
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Graphene-Doped Piezoelectric Transducers by Kriging Optimal Model for Detecting Various Types of Laryngeal Movements by Ming-Chan Lee, Cheng-Tang Pan, Shuo-Yu Juan, Zhi-Hong Wen, Jin-Hao Xu, Uyanahewa Gamage Shashini Janesha, Fan-Min Lin

“…The results affirmed enhanced electrical conductivity, piezoelectric performance, and mechanical strength. The optimized piezoelectric sensor could be applied to measure physiological signals, such as attaching it to the throat under different conditions to measure the output voltage. …”
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An Optimized Power Load Forecasting Algorithm Based on VMD‐SMA‐LSTM by Wei Liu, Fan Hua, Yongping Cui, Yangchao Xu, Han Liu

“…In the prediction stage, an optimized LSTM using SMA is proposed to predict different frequency components separately, and the prediction results of multiple components are inversely reconfigured to obtain the load prediction results. …”
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Efficiency assessment of optimizing the schedule of urban passenger transport on duplicate sections by S. A. Azemsha, I. N. Kravchenia

“…The purpose of this work is to develop alignment technique of time intervals between consecutive vehicles of different routes on duplicate sections and efficiency assessment of its application.Materials and methods. …”
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Optimization Analysis of Deformation of Underlying Tunnel in Dewatering and Excavation of Phreatic Aquifer by Jing Wang, Pengcheng Wang, Wenda Wang, Shouqiang Zhou, Xiang Fang

“…This research shows that the layered and segmented excavation method from the middle to the end by dewatering the skip layer has a better effect on optimizing the deformation of the underlying tunnel through the simulation of three excavation methods and two dewatering schemes crossing each other, which is about 2.5% less than the layer-by-layer dewatering scheme. …”
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Optimal endoscopy timing in elderly patients presenting with acute non-variceal upper gastrointestinal bleeding by Yavuz Cagir, Muhammed Bahaddin Durak, Ilhami Yuksel

“…Methods Patients over 65 years of age presenting with NVUGIB are three patient groups based on endoscopy timing: very early endoscopy (< 12 h), early endoscopy (12–24 h) and late endoscopy (> 24 h). …”
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Co-Simulation Model for Determination of Optimal Active Power Filters Settings in Low-Voltage Network by Mario Primorac, Zvonimir Klaić, Heidi Adrić, Matej Žnidarec

“…This paper, along with a detailed analysis of the literature, provides an overview of different views on the problems of optimal allocation of active filters and emphasizes the importance that the problem of optimal allocation of active filters should be based on the variability of the harmonic spectrum as a function of time. …”
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Optimization of Deep Neural Networks Using a Micro Genetic Algorithm by Ricardo Landa, David Tovias-Alanis, Gregorio Toscano

“…This work proposes the use of a micro genetic algorithm to optimize the architecture of fully connected layers in convolutional neural networks, with the aim of reducing model complexity without sacrificing performance. …”
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Development and optimization of levofloxacin in-situ emulgel to manage ocular bacterial infections by Sahirul ISLAM, Yashwant GIRI, Gurudutta PATTNAIK

“…Several in-situ emulgels with different gelling agents were prepared by the fusion method followed by stirring with a magnetic stirrer. …”
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Reinforcement learning for process Mining: Business process optimization with avoiding bottlenecks by Ghada Soliman, Kareem Mostafa, Omar Younis

“…The activity of manually identifying the optimal sequence of transitions for process mining is challenging due to several difficulties, including the high complexity of business processes that may involve numerous activities and decision points, and the significant effort required to collect and analyze the necessary data, ex1plore different transition possibilities, and evaluate their impact on process performance. …”
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Data-Driven Optimization of CNC Manufacturing Using Simulation and DOE Techniques by Vijay Sevella, Ahad Ali, Abdelhakim Abdelhadi, Ahmad Alkhaleefah

“…The results demonstrate how well simulation can represent and resolve inefficiencies in intricate industrial systems. Manufacturers may optimize manufacturing processes without interfering with ongoing operations thanks to this method, which encourages educated decision-making.…”
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Multi-Function Evaluation and Internal Land Use Optimization of Rural Settlements by Nan Wang, Lei Zhang, Jinmin Hao, Jinyi Zhang

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