Quantum distance approximation for persistence diagrams by Bernardo Ameneyro, Rebekah Herrman, George Siopsis, Vasileios Maroulas

“…Our implementation is a weighted version of the quantum approximate optimization Algorithm that relies on control clauses to encode the constraints of the optimization problem.…”
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A practical evaluation of AutoML tools for binary, multiclass, and multilabel classification by Marcelo V. C. Aragão, Augusto G. Afonso, Rafaela C. Ferraz, Rairon G. Ferreira, Sávio G. Leite, Felipe A. P. de Figueiredo, Samuel B. Mafra

“…These insights underscore the importance of aligning tool selection with specific problem characteristics and resource constraints. …”
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Distributionally Robust Policy and Lyapunov-Certificate Learning by Kehan Long, Jorge Cortes, Nikolay Atanasov

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Delineations for Police Patrolling on Street Network Segments with <i>p</i>-Median Location Models by Changho Lee, Hyun Kim, Yongwan Chun, Daniel A. Griffith

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Dynamic Stepsize Techniques in DR-Submodular Maximization by Yanfei Li, Min Li, Qian Liu, Yang Zhou

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Optimal Protection Coordination for Grid-Connected and Islanded Microgrids Assisted by the Crow Search Algorithm: Application of Dual-Setting Overcurrent Relays and Fault Current L... by Hossien Shad, Hamid Amini Khanavandi, Saeed Abrisham Foroushan Asl, Ali Aranizadeh, Behrooz Vahidi, Mirpouya Mirmozaffari

“…To solve this complex optimization problem, the Crow Search Algorithm (CSA) is employed, ensuring the derivation of reliable and effective solutions. …”
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Anti-ship missile counter-detection strategies analyzing supported by electronic jamming device by Yupeng Xie, Pengfei Sun, Xuelong Hou, Jia Liu, Changsheng Dai

“…However, there are numerous drawbacks in current literatures, which primarily focus on the hard penetration problem of ASM whereas rarely considering the context with multiple threat sources. …”
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Constrained Federated Learning for AoI-Limited SFC in UAV-Aided MEC for Smart Agriculture by Mohammad Akbari, Aisha Syed, W. Sean Kennedy, Melike Erol-Kantarci

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Optimal Dark Tea Fertilization Enhances the Growth and Flower Quality of Tea Chrysanthemum by Improving the Soil Nutrient Availability in Simultaneous Precipitation and High-Temper... by Jiayi Hou, Jiayuan Yin, Lei Liu, Lu Xu

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A Hybrid-A* Path Planning Method Based on Equal Step Hierarchical Expansion by CHEN Xinpeng, XU Biao, HU Manjiang, QIN Zhaobo, BIAN Yougang

“…Then the numerical optimization method is adopted to further optimize of the path smoothness. …”
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Um sistema para programação de uma estação FM by Márcio Samamede de Oliveira, Paulo Oswaldo Boaventura Netto, Rogério de Campos Teixeira

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Fast charging coordination for electric vehicles in a charging station based on heuristics and metaheuristics by Euler B. P. Santos, Carlos A. Castro

“…The proposed methods seek to deliver as much energy as possible to vehicles’ batteries without violating the constraints and limits of the distribution grid. TLBO is an efficient metaheuristic algorithm that requires few tuning parameters and does not depend on historical data to obtain an optimal solution for an optimization problem. …”
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Economic Dispatch in Electrical Systems with Hybrid Generation Using the Differential Evolution Algorithm: A Comparative Analysis with Other Optimization Techniques Under Energy Li... by Jorge Cadena-Albuja, Carlos Barrera-Singaña, Hugo Arcos, Jorge Muñoz

“…Once the scenarios are established, the problem is formulated as a hydrothermal dispatch optimization, which is then tackled using heuristic and metaheuristic approaches, with a strong focus on the Differential Evolution algorithm.…”
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Research on Collaborative Delivery Path Planning for Trucks and Drones in Parcel Delivery by Ting Fu, Sheng Li, Zhi Li

“…This paper proposes the Truck–Drone Collaborative Delivery Routing Problem (TDCRPTW) and develops a multi-objective optimization model that minimizes delivery costs and maximizes time reliability under capacity and time window constraints in multi-truck, multi-drone scenarios. …”
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Who Can Afford to Decarbonize? Early Insights from a Socioeconomic Model for Energy Retrofit Decision-Making by Daniela Tavano, Francesca Salvo, Marilena De Simone, Antonio Bilotta, Francesco Paolo Del Giudice

“…Building on these premises, this study introduces the Retrofit Optimization Problem (ROP), a methodological framework adapted from the Multidimensional Knapsack Problem (MdKP). …”
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LUNA: Loss-Construct Unsupervised Network Adjustment for Low-Dose CT Image Reconstruction by Ritu Gothwal, Shailendra Tiwari, Shivendra Shivani

“…Reconstructing low-dose CT imaging deals with handling the inherent noise within the data, which makes it a complex mathematical problem known as an ill-posed inverse problem. Recent attention has shifted towards deep learning-based techniques in CT image reconstruction. …”
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An exploration-enhanced hybrid algorithm based on regularity evolution for multi-objective multi-UAV 3-D path planning by Zhenzu Bai, Haiyin Zhou, Juhui Wei, Xuanying Zhou, Yida Ning, Jiongqi Wang

“…Developing objectives, constraints, and decision-making processes for three-dimensional path planning involving multiple UAVs presents substantial challenges within the multi-objective optimization community. …”
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The Fast and Accurate Method of Tuning of SISO Controllers Using Seven Performance Indexes by Stopakevych A.О., Stopakevych О.A.

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Investigating the Effects of Labeled Data on Parameterized Physics-Informed Neural Networks for Surrogate Modeling: Design Optimization for Drag Reduction over a Forward-Facing Ste... by Erik Gustafsson, Magnus Andersson

“…Physics-informed neural networks (PINNs) are gaining traction as surrogate models for fluid dynamics problems, combining machine learning with physics-based constraints. …”
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A Real-time Motion Planning Algorithm for AUV based on IDVD Method by Guoshun LIU, Wei GUO, Yanjun LAN, Yifan FU

“…Subsequently, a nonlinear optimization problem was formulated to enhance path smoothness and safety. …”
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