A Two-Stage Planning Method for Rural Photovoltaic Inspection Path Planning Based on the Crested Porcupine Algorithm by Xinyu He, Xiaohui Yang, Shaoyang Chen, Zihao Wu, Xianglin Kuang, Qi Zhou

“…To address these issues, this study proposes a multi-regional PV inspection path planning method based on the crested porcupine optimization (CPO) algorithm. This method first employs a hybrid optimization framework combining a genetic algorithm, Simulated Annealing, and Fuzzy C-Means Clustering (GASA-FCM) to divide PV power stations into multiple regions, adapting to their dispersed distribution characteristics. …”
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Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer by Mohd Herwan Sulaiman, Zuriani Mustaffa

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Priority-Aware SDN Orchestration for Surgical IoMT: A Joint Optimization of Hit Ratio and Latency With Dynamic Resource Reallocation by Yalda Safaei, Pouria Arefijamal, Mahdi Siamaki, Bardia Safaei

“…A key distinguishing feature is its dynamic resource reallocation mechanism, which employs the preemption of lower-priority, non-medical traffic to proactively secure network resources and guarantee QoS for vital surgical flows, even during periods of high network load. A computationally efficient, priority-aware greedy algorithm operationalizes this strategy on the SDN controller. …”
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Computational methods and artificial intelligence-based modeling of magnesium alloys: a systematic review of machine learning, deep learning, and data-driven design and optimizatio... by Hanxuan Wang, Raman Kumar, Raman Kumar, Ashutosh Pattanaik, Rajender Kumar, Rajender Kumar, Ali Saeed Owayez Khawaf Aljaberi, Mayada Ahmed Abass

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Opposition-Based Quantum Bat Algorithm to Eliminate Lower-Order Harmonics of Multilevel Inverters by Jahedul Islam, Sheikh Tanzim Meraj, Ammar Masaoud, Md. Apel Mahmud, Amril Nazir, Muhammad Ashad Kabir, Md. Moinul Hossain, Farhan Mumtaz

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Implementation of Alpha-Beta Pruning and Transposition Tables on Checkers Game by Cristian C. Suancha, Marco J. Suarez, Felipe A. Besoain

“…Comparative analysis against other algorithms demonstrated the successful implementation of the approach. …”
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A new stochastic multi-objective model for the optimal management of a PV/wind integrated energy system with demand response, P2G, and energy storage devices by Hossein Faramarzi, Navid Ghaffarzadeh, Farhad Shahnia

“…Scenario analysis is adopted to address the stochastic nature of RESs and load demand, and the Sim&Corrloss clustering strategy is used to reduce the computational burden. To demonstrate the effectiveness of the proposed approach, the results obtained from applying the proposed algorithm are compared with the results from analyzing the problem using GAMS software and the multi-objective seagull optimization algorithm (MOSOA). …”
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Structural Parameter Optimization of the Vector Bracket in a Vertical Takeoff and Landing Unmanned Aerial Vehicle by Wenshuai Liu, Wenyong Quan, Junli Wang, Xiaomin Yao, Qingzheng Liu, Qiang Liu, Yuxiang Tian

“…Finally, a Multi-Objective Genetic Algorithm was employed to determine the optimal parameter values maximizing the two coefficients. …”
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Integrating GIS, 3D-Isovist, and an NSGA-II multi-objective optimization algorithm for automation of design process in urban parks and public open spaces by Karim Zandniapour, Akram Soroush, Ehsan Khezerlu Agdam, Haniyeh Sanaieian

“…The results showed that the NSGA-II was able to solve the complex design problem with 185 trees and 66 observers. The algorithm produced a Pareto-frontier consisting of four optimal solutions that, compared to the existing state of the park, showed more than 18% and 12 % improvement according to Tree View and Building View, respectively. …”
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Power quality enhancement based disturbance rejection controller in microgrid system using walrus optimization algorithm and multi-functional recurrent fuzzy neural network by Ali M.H. Al Thaiban, Akram Elmitwally, Abdelhady Ghanem, Ahmed I. Omar

“…The UPQC’s control is executed through a Fractional Order-Active Disturbance Rejection Controller (FOADRC) that employs the Innovative Walrus Optimization Algorithm (WOA) to ascertain optimal gain values for the control method across numerous PQ scenarios, while the Multi-Functional Recurrent Fuzzy Neural Network (MFRFNN) predicts control parameters for adaptive system regulation. …”
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Deep convolutional neural network based archimedes optimization algorithm for heart disease prediction based on secured IoT enabled health care monitoring system by Sureshkumar S, Santhosh Babu A. V, Joseph James S, Maranco M

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High dimensional counterdiabatic quantum computing by Diego Tancara, Francisco Albarrán-Arriagada

“…Finally, considering the state-of-the-art quantum platforms, we show the experimental feasibility of our high-dimensional counterdiabatic quantum algorithms at least in a fully digital form. This work paves the way for the efficient codification of optimization problems in high-dimensional spaces and their efficient implementation using counterdiabatic quantum computing.…”
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RETRACTED ARTICLE: Attention Pyramid Convolutional Neural Network Optimized with Big Data for Teaching Aerobics by Chunmei Chen

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Integrating IT and OT for Cybersecurity: A Stochastic Optimization Approach via Attack Graphs by Gonzalo Martinez Medina, Krystel K. Castillo-Villar, Tanveer Hossain Bhuiyan

“…This paper proposes an attack graph-based optimization model to enable cybersecure digital manufacturing. …”
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A Framework for Low-Carbon Container Multimodal Transport Route Optimization Under Hybrid Uncertainty: Model and Case Study by Fenling Feng, Fanjian Zheng, Ze Zhang, Lei Wang

“…Subsequently, a multi-strategy improved whale optimization algorithm (WOA) is developed to solve the formulated model. …”
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Wasserstein Distributionally Robust Optimization for Chance Constrained Facility Location Under Uncertain Demand by Iman Seyedi, Antonio Candelieri, Enza Messina, Francesco Archetti

“…To overcome this limitation, the proposed approach integrates two methodologies, specifically a Genetic Algorithm to search for the optimal decision about facility opening, inventory, and allocation, and a constrained Jordan–Kinderlehrer–Otto (cJKO) scheme for dealing with robustness in the objective function and chance-constraint with respect to possible unknown fluctuations in demand. …”
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INFORMATICS, COMPUTER ENGINEERING AND MANAGEMENT by A. V. Malikov

“…Algorithms for solving these problems are estimated by non-polynomial complexity functions and, in practice, heuristic methods of their optimization are usually used. …”
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Priority-aware task offloading for LEO satellite edge computing network: a multi-agent deep reinforcement learning-based approach by Juan Chen, Jie Zhong, Zongling Wu, Di Tian, Yujie Chen

“…Existing task scheduling algorithms often fail to fully consider task deadlines and priority orders, leading to deficiencies in handling urgent tasks and optimizing overall computational efficiency. …”
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Optimal control for quadrotors UAV based on deep neural network approximations of stable manifold of HJB equation by Yuhuan Yue

“…This paper proposes a deep learning algorithm for solving the infinite-horizon optimal feedback control problem of a quadrotor unmanned aerial vehicle (UAV). …”
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Big data-based optimized model of building design in the context of rural revitalization by Wang Lei

“…Therefore, the backbone multi-objective particle swarm optimization algorithm has better performance and is more suitable for optimizing building energy consumption.…”
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