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. …”
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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. …”
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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.…”
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Heuristic Global Optimization for Thermal Model Reduction and Correlation in Aerospace Applications by João P. Castanheira, Beltran N. Arribas, Rui Melicio, Paulo Gordo, André R. R. Silva

“…This study addresses the challenge of accurately correlating detailed and reduced thermal models in aerospace applications by using heuristic global optimization methods. In the context of increasingly complex thermal systems, traditional manual correlation methods are usually a time-consuming task. …”
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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). …”
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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. …”
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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

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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. …”
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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.…”
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Redefining the high variable genes by optimized LOESS regression with positive ratio by Yue Xie, Zehua Jing, Hailin Pan, Xun Xu, Qi Fang

“…Results We developed a robust feature selection algorithm that leverages optimized locally estimated scatterplot smoothing regression (LOESS) to precisely capture the relationship between gene average expression level and positive ratio while minimizing overfitting. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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.…”
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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. …”
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The WSN Localization Algorithm Integrating Ranging Correction and Spider Wasp Optimization by YU Xiu-wu, XIAO Lin, LIU Yong, YE Lai

“…The objective is to improve the accuracy of node localization and enhance the overall performance of the DV-Hop algorithm, making it more reliable in practical deployment scenarios.MethodsThe proposed algorithm consists of two main components: distance correction and optimization using Spider Wasp Optimization (SWO). …”
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Damage Detection of Steel Roof Systems Using Planet Optimization Algorithm by Thanh Sang-To, Van The Huy-Nguyen, Samir Khatir, The Vi-Huynh, Hoang Le-Minh, Thanh Cuong-Le

“…In this work, an inverse method for damage detection studies is developed based on Planet Optimization Algorithm (POA). …”
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Optimization of protein-lipid comlex by its fatty acid and vitamin composition by B. A. Bazhenova, A. G. Burkhanova, Yu. Yu. Zabalueva, A. A. Mordovina

“…The present article presents the results of research aimed to creation of antioxidant-enriched protein-lipid complex (PLC) with the optimal ratio ω3: ω6 of PUFA. The ratio of lipid component was optimized by linear programming method, where the recommended ratio of ω-6: ω-3 of PUFA as 10: 1 was used as term of limitation. …”
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