An optimization model for identifying backbone networks to enhance the resilience of distribution networks by Zefeng Zhu, Liang Liang, Shunbo Lei, Ruimin Zheng, Xiangjun Kong, Elena Gryazina

“…A linearized hierarchical decomposition strategy decoupled the NP-hard problem into 110kV and 220kV subproblems reducing computational complexity while ensuring global optimality. Additionally, the model integrated distributed generation (DG) into the backbone network to optimize joint scheduling, reducing the scale of backbone network while enhancing critical node redundancy. …”
Get full text

Optimal Scheduling of Multi-energy System Considering Economy and Energy Conservation by Chenxi Wu, Hanxiao Hong, Suoyin Ni, Y. L. Lou

“…In recent years, the optimal scheduling of multienergy has become the focus of the research. …”
Get full text

Enzymatic Extraction of Hawthorn Pectin Under Ultrahigh Pressure: Optimization and Characterization by Zheng Ye, Qiaoshuang Lu, Dihu Lv, Chun Yang

“…The optimized UHPEE process resulted in reductions in both the degree of esterification and molecular weight of the pectin, while concurrently increasing the content of total galacturonic acid and total polyphenols. …”
Get full text

Joint optimization for wind farm planning incorporating energy storage sizing by Bin Chen, Miaoyu Wei, Haibing Hu, Tengjun Zuo

“…This WF joint planning method unifies the optimizations across all layers into a single economic objective to pursue a balanced trade-off between overall costs and power generations. …”
Get full text

Evaluating Optimal Relationships for Estimating Suspended Sediment Discharge in the Balaroud River by Babak Lashkar-Ara, Farmehr Kiani

Get full text

DISCO: Efficient Diffusion Solver for large-scale Combinatorial Optimization problems by Hang Zhao, Kexiong Yu, Yuhang Huang, Renjiao Yi, Chenyang Zhu, Kai Xu

“…Despite recent advancements in neural solvers, their limited expressiveness struggles to capture the multi-modal nature of CO landscapes. While some research has adopted diffusion models, these methods sample solutions indiscriminately from the entire NP-complete solution space with time-consuming denoising processes, limiting scalability for large-scale problems. …”
Get full text

Smart Building Electrical Energy Optimization Through Neural Network Techniques by El Kamili Moad, Touairi Souad, Mabrouki Mustapha

“…This paper presents a new approach to optimizing the use of electrical energy in smart buildings using neural network techniques. …”
Get full text

Collaborative optimal operation control of HVAC systems based on multi-agent by Chen Fu, Kaipeng Chen, Yan Xu, Dongyue Ming, Ruiwen Ye, Yingjun Wu, Lixia Sun

“…The analysis reveals that the proposed approach is capable of reducing power consumption by 18.9% and the computation time for each operation condition is 12.2 s, which saves about 54% of time cost compared with the centralized method, and can enhance the computing efficiency of the optimization approach for a complicated HVAC system while reducing power consumption.…”
Get full text

Optimal Speed and Position Controller for PMDC Motor Based GWO Algorithm by Iman S. Kareem, Sahar R. Al-Sakini, Ghassan A. Bilal

“…The GWO algorithm was selected as an optimization method, and the standard PID's settings were adjusted using integral time absolute error (ITAE). …”
Get full text

Bayesian optimization of underground railway tunnels using a surrogate model by Hassan Liravi, Hoang-Giang Bui, Sakdirat Kaewunruen, Aires Colaço, Jelena Ninić

“…The surrogate model utilizes synthetic data generated using Latin hypercube sampling, significantly reducing the required dataset size while maintaining accuracy. The synthetic dataset is constructed using an accurate numerical model that integrates the two-and-a-half-dimensional singular boundary method for modeling wave propagation in the soil with the finite element method for structural modeling. …”
Get full text

Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

Get full text

Hybrid strategy enhanced crayfish optimization algorithm for breast cancer prediction by Yu-Jiong Li

“…Finally, an adaptive ternary optimization mechanism is introduced in the exploration phase: a curve growth acceleration factor is used to collaboratively guide global and individual optimal information, while a hybrid adaptive cosine exponential weigh dynamically adjusts the search intensity. …”
Get full text

Optimizing Feature Selection for IOT Intrusion Detection Using RFE and PSO by zahraa mehssen agheeb Alhamdawee

“…These results highlight the importance of feature selection in optimizing classifiers for IoT intrusion detection , and achieved perfect scores (1,00) across all metrics.The aim from this paper is to enhance intrusion detection in iot networks by designing adual stage feature selection method based on RFE and PSO.…”
Get full text

ON THE ISSUE OF AIRCRAFT MAITENANCE PROCESS OPTIMIZATION ON THE CRITERION OF MINIMUM FUEL CONSUMPTION by V. A. Belkin

“…At the same time the most advantageous methods aimed at improving fuel efficiency are continuous aircraft climb or descent.One of these research directions is the implementation of continuous descent mode, rational routes of approach to the airfield, climb, choice of optimal flight modes in flights. …”
Get full text

Optimizing air velocity for energy-efficient and sustainable rubberwood drying kilns by Suratsavadee K. Korkua, Choosak Rittiphet, Siraporn Sakphrom, Santanu Kumar Dash, Chalearm Tesanu, Kamon Thinsurat

“…Predicting moisture content accurately during drying is crucial, as it directly impacts wood quality and process optimization. Traditional methods often struggle with dynamic variations in drying behavior, making precise control challenging. …”
Get full text

Robust object counting through distribution uncertainty matching and optimal transport by Sabri Boughorbel, Fethi Jarray, Rachida Zegour, Nauman Ullah Gilal, Khaled Al Thelaya, Marco Agus, Jens Schneider

“…In this paper, we propose a method called DUMLO (Distribution Uncertainty Matching for Loss Optimization) that defines a loss function between a ground-truth density map and a target density map by modeling uncertainty over an augmented set of points. …”
Get full text

Multi-objective optimal scheduling of islands considering offshore hydrogen production by Yirui Wang, Ruize Tian, Siguang Zheng, Changyue Lu, Shuang Zhou

“…To optimize the dispatch process, this study employs an improved Grey Wolf Optimizer (IGWO) combined with the Differential Evolution method to enhance population diversity and refine the position updating mechanism. …”
Get full text

Optimizing Transport Logistics under Uncertainty with Simheuristics: Concepts, Review and Trends by Juliana Castaneda, Elnaz Ghorbani, Majsa Ammouriova, Javier Panadero, Angel A. Juan

“…However, simulation is not an optimization tool. Hence, it must be combined with optimization methods when our goal is to: (i) minimize operating costs while guaranteeing a given quality of service; or (ii) maximize system performance using limited resources. …”
Get full text

Multi-objective multi-workflow task offloading based on evolutionary optimization by Teliekebieke Misha, Lisheng Sun, Zheng-yi Chai

“…Simulation results demonstrate that our algorithm optimally balances delay and energy consumption requirements compared to existing methods, while enhancing the diversity and convergence of non-dominated solutions.…”
Get full text

Optimizing timing and cost-effective use of plasma biomarkers in Alzheimer’s disease by Hsin-I Chang, Mi-Chia Ma, Kuo-Lun Huang, Chung-Gue Huang, Shu-Hua Huang, Chi-Wei Huang, Kun-Ju Lin, Chiung-Chih Chang

“…Abstract Background and objectives Early and cost-effective identification of amyloid positivity is crucial for Alzheimer’s disease (AD) diagnosis. While amyloid PET is the gold standard, plasma biomarkers such as phosphorylated tau 217 (pTau217) provide a potential alternative. …”
Get full text