An Optimization Framework for Allocating and Scheduling Multiple Tasks of Multiple Logistics Robots by Byoungho Choi, Minkyu Kim, Heungseob Kim

“…To address this, we propose a five-step optimization framework that reduces computation time while maintaining practical applicability. …”
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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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Enzymatic Extraction of Hawthorn Pectin Under Ultrahigh Pressure: Optimization and Characterization by Zheng Ye, Qiaoshuang Lu, Dihu Lv, Chun Yang

“…These results indicate that the optimized UHPEE method is a more efficient technique for extracting hawthorn pectin and effectively enhances its antioxidant activity, suggesting its potential application in the food industry.…”
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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. …”
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Evaluating Optimal Relationships for Estimating Suspended Sediment Discharge in the Balaroud River by Babak Lashkar-Ara, Farmehr Kiani

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Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms by Jay Prakash Singh, Debolina Ghosh, Jagannath Singh, Anurag Bhattacharjee, Mahendra Kumar Gourisaria

“…Automated hyperparameter tuning is done with KerasTuner, while dropout and weight decay regularization methods are used to control overfitting. …”
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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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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. …”
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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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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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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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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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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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POQ: Is There a Pareto-Optimal Quantization Strategy for Deep Neural Networks? by Floran De Putter, Sherif Eissa, Henk Corporaal

“…This work presents a Pareto-Optimal Quantization (POQ) methodology aimed at mapping a neural network architecture to a specific hardware platform while systematically exploring the design space in between to identify the most effective quantization strategy. …”
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Sinh-Cosh Optimization-Based Efficient Clustering for Big Data Applications by Lahbib Khrissi, Mohammed Es-Sabry, Nabil El Akkad, Hassan Satori, Saad Aldosary, Walid El-Shafai

“…Comprehensive computational experiments and result analysis demonstrate that the proposed algorithm consistently outperforms the comparison methods while exhibiting remarkable stability. Specifically, the experimental results show that the algorithm achieves superior F-score performance on 9 out of 10 datasets and outperforms in accuracy on 8 out of 10 datasets.…”
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ENERGETICALLY OPTIMAL WORK OF WATER INTAKE STRUCTURES FROM UNDERGROUND SOURCES by I. Yu. Purusova

“…Conclusion Energetically optimal work of water intake structures with separate pressure lines, helps to reduce water losses, while achieving significant savings in electricity. …”
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Insurance claims estimation and fraud detection with optimized deep learning techniques by P. Anand Kumar, S. Sountharrajan

“…Unlike traditional statistical methods, which often struggle with the intricate nature of insurance claims data, deep learning models performs well in handling diverse variables and factors influencing claim outcomes. …”
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