Optimal Iterative Learning Fault-Tolerant Guaranteed Cost Control for Batch Processes in the 2D-FM Model by Limin Wang, Weiwei Dong

“…Furthermore, a convex optimization problem with LMI constraints is formulated to design the optimal guaranteed cost controller which minimizes the upper bound of the closed-loop system cost. …”
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Joint Optimization Method for Preventive Maintenance and Train Scheduling of Subway Vehicles Based on a Spatiotemporal Network Graph by Chuanzhen Liu, Zhongwei Xu, Meng Mei, Wenqing Li

“…Next, leveraging the generated spatiotemporal network path set, a joint optimization model for preventive maintenance and scheduling is formulated, integrating optimization objectives and constraints to achieve coordinated optimization. …”
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Deep Reinforcement Learning-Enabled Trajectory and Bandwidth Allocation Optimization for UAV-Assisted Integrated Sensing and Covert Communication by Donghao Li, Binfang Du, Zhiquan Bai

“…In this study, the optimization of UAV trajectory and bandwidth allocation within the ISAC framework is investigated, with a focus on covert communication under energy constraints. …”
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Novel Application of Quantum Computing for Routing and Spectrum Assignment in Flexi-Grid Optical Networks by Oumayma Bouchmal, Bruno Cimoli, Ripalta Stabile, Juan Jose Vegas Olmos, Carlos Hernandez, Ricardo Martinez, Ramon Casellas, Idelfonso Tafur Monroy

“…This paper proposes a novel quantum-based approach to solving the RSA problem. By formulating the problem as a Quadratic Unconstrained Binary Optimization (QUBO) model, we employ the Quantum Approximate Optimization Algorithm (QAOA) to effectively solve it. …”
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A speed optimization model for connected and autonomous vehicles at expressway tunnel entrance under mixed traffic environment. by Jianrong Cai, Yang Liu, Zhixue Li

“…For HVs, speed trajectories are determined using the Intelligent Driver Model (IDM). The CAV speed optimization model, represented as a mixed-integer nonlinear optimization problem, is solved using A Mathematical Programming Language (AMPL) and the BONMIN solver. …”
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Joint optimization of maintenance and demand response investments in distribution networks using a hybrid GA-SQP approach by Roshan Alirezaei, Reza Dashti, Mojtaba Mirhosseini

“…This study proposes a novel integrated optimization framework that simultaneously allocates capital to preventive maintenance and demand response (DR) programs in power distribution networks under budget constraints. …”
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Dynamic Modeling, Trajectory Optimization, and Linear Control of Cable-Driven Parallel Robots for Automated Panelized Building Retrofits by Yifang Liu, Bryan P. Maldonado

“…Building on this dynamic model, we formulate a trajectory optimization problem to generate feasible and efficient motion plans for the robot under operational and environmental constraints. …”
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Determination of Sequential Well Placements Using a Multi-Modal Convolutional Neural Network Integrated with Evolutionary Optimization by Seoyoon Kwon, Minsoo Ji, Min Kim, Juliana Y. Leung, Baehyun Min

“…In geoenergy science and engineering, well placement optimization is the process of determining optimal well locations and configurations to maximize economic value while considering geological, engineering, economic, and environmental constraints. …”
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Optimization Operation Method for Integrated Energy Systems in Parks Considering Carbon Excess Rate and Electricity-to-Gas Conversion by Libing JIANG, Jianhua SHEN, Wan PANG, Hao SUN, Chenxi QU

“…Taking the daily operating cost of the parks as the optimization target, an optimal scheduling model was established to set constraints to satisfy the supply/demand balance of the integrated energy system and the operation of the equipment in the parks. …”
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Enhanced Chaotic Pseudorandom Number Generation Using Multiple Bernoulli Maps with Field Programmable Gate Array Optimizations by Leonardo Palacios-Luengas, Reyna Carolina Medina-Ramírez, Ricardo Marcelín-Jiménez, Enrique Rodriguez-Colina, Francisco R. Castillo-Soria, Rubén Vázquez-Medina

“…Certain methods for implementing chaotic maps can lead to dynamic degradation of the generated number sequences. To solve such a problem, we develop a method for generating pseudorandom number sequences based on multiple one-dimensional chaotic maps. …”
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Enhancing intrusion detection in wireless sensor networks using a Tabu search based optimized random forest by Vivek Kumar Pandey, Shiv Prakash, Tarun Kumar Gupta, Priyanshu Sinha, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang, Sabeen Tahir, Sheikh Tahir Bakhsh

“…To address this problem, Random Forest (RF) is a popular machine learning model. …”
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Twin Support Vector Regression Model Based on Heteroscedastic Gaussian Noise and Its Application by Shiguang Zhang, Ge Feng, Feng Yuan, Shuangle Guo

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An Optimal Sizing Methodology for a Wind/PV Hybrid Energy Production System for Agricultural Irrigation in Skikda, Algeria by Nadhir Abderrahmane, Allaoua Brahmia, Adlen Kerboua, Ridha Kelaiaia

“…The optimization algorithm used was tailored to the formulated problem, ensuring reliable and applicable results. …”
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Electric vehicles charging station allocation based on load profile forecasting and Dijkstra’s algorithm for optimal path planning by Sahbi Boubaker, Sameer Al-Dahidi, Souad Kamel, Nejib Ghazouani, Habib Kraiem, Faisal S. Alsubaei, Farid Bourennani, Walid Meskine, Mohamed Benghanem, Adel Mellit

“…The current investigation addresses the EV charging station allocation problem, aiming to guide EVs to optimal CSs based on real-time and forecasted system dynamics. …”
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Adaptive Trajectory Optimization for UAV-IRS Systems in 6G Thz Networks Using Multi Agent-DRL by Elmadina Nahla Nur, Saeed Rashid A., Saeid Elsadig, Awouda Ala Eldin, Mujlid Hana M., Elshafie Hashim

“…Given the non-convex and NP-hard nature of the problem, traditional optimization methods are insufficient. …”
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Optimizing Energy Efficiency in Vehicular Edge-Cloud Networks Through Deep Reinforcement Learning-Based Computation Offloading by Ibrahim A. Elgendy, Ammar Muthanna, Abdullah Alshahrani, Dina S. M. Hassan, Reem Alkanhel, Mohamed Elkawkagy

“…Given the complexity of this problem in large-scale vehicular networks, the study formulates an equivalent reinforcement learning model and employs a deep learning algorithm to derive optimal solutions. …”
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A novel dynamic scheduling model for application in multimode approach by Zineb Elqabli, Oulaid Kamach, Abdelhakim Khatab, Youness Chater

“…The formulated optimization problem is expressed as a MILP aimed at minimizing the makespan, subject to constraints reflecting the characteristics of multimode behavior. …”
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Joint optimal placement, routing, and energy allocation in wireless sensor networks with a shared energy harvesting module by Yin Wu, Wenbo Liu, Qian Shen

“…The individual nodes do not own the independent energy harvesting modules and can only withdraw energy from the shared battery, which has an optionally changing energy level. Our aim is to find optimal solutions for three problems: (1) the minimum number of nodes needed for deployment, (2) the most efficient path from each node to the sink, and (3) the maximum network utility under energy harvesting constraints. …”
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Multi-objective-based economic dispatch and loss reduction in the presence of electric vehicles considering different optimization techniques by David Hmingthanmawia, Subhasish Deb, Subir Datta, Ksh. Robert Singh, Umit Cali, Umit Cali, Taha Selim Ustun

“…The proposed optimization problem is employed in an IEEE 30-bus system. …”
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Dynamic-weighted joint beamforming design for communication and sensing in fluid antenna-assisted ISAC system by LI Fei, ZHANG Jie, LI Ting, SONG Yunchao

“…The communication rate maximization problem was transformed into a weighted minimum mean square error (WMMSE) minimization formulation, with joint optimization of the beamforming matrix and transceiver antenna positions under transmit power constraints. …”
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