Self-adaptive dragonfly based optimal thresholding for multilevel segmentation of digital images by Rakoth Kandan Sambandam, Sasikala Jayaraman

“…Dragonfly optimization (DFO) is a population based meta-heuristic optimization algorithm that simulates the static and dynamic swarming behaviors of dragonflies. …”
Get full text

Design approach for optimization of a piston ring profile considering mixed lubrication by Zhinan Zhang, Jun Liu, Youbai Xie

“…Abstract To reduce the friction of a piston ring while maintaining a large oil film load-carrying capacity, an approach comprising of the inverse method and the sequential quadratic programming algorithm was proposed. …”
Get full text

An optimization approach for blood supply chain management integrating drone delivery method by Mayuri K. N, Gowsalya M.

“…This paper aims to minimize the delivery lead time and make the fastest delivery of lifesaving blood products within a specified delivery range. We proposed an optimization model that uses mixed integer non-linear programming (MINLP) with Dijkstra’s algorithm. …”
Get full text

Large language models design sequence-defined macromolecules via evolutionary optimization by Wesley F. Reinhart, Antonia Statt

“…Abstract We demonstrate the ability of a large language model to perform evolutionary optimization for materials discovery. Anthropic’s Claude 3.5 model outperforms an active learning scheme with handcrafted surrogate models and an evolutionary algorithm in selecting monomer sequences to produce targeted morphologies in macromolecular self-assembly. …”
Get full text

Differential Evolution for Optimizing Model Parameters in Simulation of Direct Dimethyl Carbonate Synthesis by Outi Ruusunen, Riitta Keiski, Mika Ruusunen

“…The Differential Evolution (DE) algorithm was applied to optimize parameters of the model. …”
Get full text

Optimizing Fairness and Spectral Efficiency With Shapley-Based User Prioritization in Semantic Communication by Moirangthem Tiken Singh, Adnan Arif, Rabinder Kumar Prasad, Bikramjit Choudhury, Chandan Kalita, Sikdar Md. S. Askari

“…Notably, as the number of channels increases, S-SE stabilizes while fairness continues to improve, approaching optimal levels in diverse system configurations. …”
Get full text

Multi-Objective Optimization of Gas Storage Compressor Units Based on NSGA-II by Lianbin Zhao, Lilin Fan, Jun Lu, Mingmin He, Su Qian, Qingsong Wei, Guijiu Wang, Haoze Bai, Hu Zhou, Yongshuai Liu, Cheng Chang

“…A multi-objective optimization model based on the NSGA-II algorithm is proposed to maximize gas injection volume while minimizing energy consumption. …”
Get full text

Optimizing Energy Forecasting Using ANN and RF Models for HVAC and Heating Predictions by Khaled M. Salem, Javier M. Rey-Hernández, A. O. Elgharib, Francisco J. Rey-Martínez

Get full text

Optimizing RetinaNet anchors using differential evolution for improved object detection by Asaad Mohammed, Hosny M. Ibrahim, Nagwa M. Omar

“…Specifically, we propose an optimization algorithm based on Differential Evolution (DE) that adjusts anchor scales and ratios while determining the most appropriate number of these parameters for each dataset based on the annotated data. …”
Get full text

Optimizing Variable Admittance Control for Remote Ultrasound Scanning Under Uncertain Environment by Songjie Xiao, Tengyue Wang, Yun Long, Liangjing Yang

“…Precise force control in remote robotic ultrasound systems is critical for optimizing image quality and ensuring patient safety. …”
Get full text

Optimal Design and Dynamic Performance Analysis of Vehicle Suspension Employing an Eccentric Inerter by Chengqun Qiu, Ang Chen, Yuqiu Xu, Yujie Shen

“…Then, by considering the overall performance such as the vehicle body acceleration, the suspension working space, and the dynamic tire load, the key parameters of the two suspensions are optimized by using the genetic algorithm. Simulation analysis results indicate that the series-connected vehicle ISD suspension is superior to the parallel-connected one, and all of the RMS values of the body acceleration, the suspension working space, and the dynamic tire load are decreased significantly by comparing to the conventional suspension, while the improvement of the parallel-connected vehicle ISD suspension is relatively poor. …”
Get full text

Research on Marketing Problems and Optimization Strategies of ByteDance in the Era of Big Data by Liu Yan

“…To address these challenges, this paper proposes strategic solutions, including enhanced public relations efforts, algorithm optimization, the establishment of robust systems for underage protection, and the integration of business operations. …”
Get full text

Optimal Ordering Strategy for Goods at Multiple Retail Prices under Simultaneous Sales by Yunzhi Mu, Zhiqing Meng, Rui Shen, Gengui Zhou, Leiyan Xu, Minchao Zheng

“…The Lagrangian multiplier method is applied to solve the problem, and an algorithm for finding the approximate optimal total order quantity is designed. …”
Get full text

Hybrid modeling for optimizing electrospun polyurethane nanofibrous membranes in air filtration applications by Majid Sohrabi, Milad Razbin

“…Abstract Nanofibers have gained recognition as promising materials for air filtration due to their high surface area-to-volume ratio, adjustable porosity, and exceptional mechanical properties. However, optimizing their structural characteristics to maximize filtration efficiency while minimizing pressure drop remains challenging due to the complexity of the electrospinning process. …”
Get full text

Journalism’s transformation through digitalization in Turkey: Applying search engine optimization to journalism by Tuğçe Ayçin

“…A contemporary style of journalism has emerged in which the news published on the web is optimized for Google, and this type of journalism can be expressed as search engine optimization (SEO) journalism. …”
Get full text

Inverse-design topology optimization of magnonic devices using level-set method by Andrey A. Voronov, Marcos Cuervo Santos, Florian Bruckner, Dieter Suess, Andrii V. Chumak, Claas Abert

“…These results highlight the algorithm’s efficiency in exploring local minima across various initial configurations, establishing its utility as a versatile tool for the inverse design of magnonic logic devices.…”
Get full text

Model Optimization for High-Yield Biocrude in Co-Hydrothermal Liquefaction of Municipal Sludge by Botian HAO, Yunfei DIAO, Ya WEI, Donghai XU

“…High sludge ratios significantly suppress yield, primarily because the high ash content (59.1%) dilutes the organic biomass concentration. Finally, a genetic algorithm combined with an ANN was used to predict the optimal process conditions for the co-HTL of MS and microalgae, achieving a maximum biocrude yield of 32.2%. …”
Get full text

Collision-inducing method for UAV evasive maneuvers based on receding horizon optimization by Haonan Tang, Zhigong Tang, Gong Chen, Jifeng Guo

“…The obstacle potential field-based target selection algorithm was employed to identify the most appropriate target obstacle, while the induced trajectory was determined through a combination of receding horizon optimization and the hp-adaptive pseudo-spectral method. …”
Get full text

Comparative Analysis of a Quantum SVM With an Optimized Kernel Versus Classical SVMs by Matheus Cammarosano Hidalgo

“…Support Vector Machine (SVM) is a widely used algorithm for classification, valued for its flexibility with kernels that effectively handle non-linear problems and high-dimensional data. …”
Get full text

Optimal scheduling of BIES with multi-energy flow coupling based on deep RL by XIA Xuhua, YANG Jiandi, SHI Yongtao

“…Secondly， the state space， action space， and reward function for the operational dispatch strategy are designed using deep RL， and a low-carbon economic and optimal dispatch framework is constructed using the ​soft actor-critic （SAC） algorithm.​ …”
Get full text