Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…Globally, enterprises are undergoing significant transformation in line with developments based on industrial revolution by leveraging extensive computing resources, data capture technologies, information processing systems, and advanced data science models that span analytics, optimization, and algorithmic intelligence. …”
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Prioritized Experience Replay–Based Path Planning Algorithm for Multiple UAVs by Chongde Ren, Jinchao Chen, Chenglie Du

“…In complex environments, the path planning problem, which is a multiconstraint combinatorial optimization problem and hard to settle, requires considering numerous constraints and limitations and generates the best paths for each UAV to accomplish group tasks. …”
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Connectivity-Enhanced 3D Deployment Algorithm for Multiple UAVs in Space–Air–Ground Integrated Network by Shaoxiong Guo, Li Zhou, Shijie Liang, Kuo Cao, Zhiqun Song

“…The space–air–ground integrated network (SAGIN) can provide extensive access, continuous coverage, and reliable transmission for global applications. …”
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Electric vehicle charging stations’ location in urban transportation networks: A heuristic methodology by Sebastian Torres Franco, Ivan Camilo Durán Tovar, Mónica Marcela Suárez Pradilla, Agustin Marulanda Guerra

“…The methodology results are compared to those drawn from a Greedy Algorithm based on a multipath consideration, in an extensive metropolitan transportation network. The results show that the proposed methodology significantly reduce the computational time required for solving the location problem, and furthermore, allows for similar results to those obtained when considering k = 2 and k = 3 deviation paths.…”
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Multi-attribute bottleneck identification method for hybrid flow shops in panel furniture intelligent manufacturing by Xinyi Yue, Xianqing Xiong, Mei Zhang, Xiutong Xu

“…Further, to evaluate the feasibility and efficiency of the method, this paper compares the implementation of the two phases: comparison of IGA with five advanced algorithms called QIA, PSO, AIS, ACO and B&B and comparison of EW-TOPSIS with traditional bottleneck identification methods. Extensive numerical experiments on 77 benchmarks of different sizes not only validate the effectiveness of the IGA, but also demonstrate that the proposed IGA is more effective in bottleneck identification and converges stably to the optimal schedule. …”
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Corporate Real Estate alignment by Monique Arkesteijn

“…In all pilot studies the decision makers used the opportunity to either add or remove decision variables and change curves, weights or constraints. The use of such a learning process in the context of work practice and problem solving is described by Schön (1987) as reflection in action. …”
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Capacity requirements and demand management strategies in meal delivery by Ramon Auad, Alan Erera, Martin Savelsbergh

“…To simplify analysis, we focus on problem geometries that enable the use of stylized mixed integer programs to optimally deploy a fleet of couriers serving large numbers of orders. …”
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Addressing the Return Visit Challenge in Autonomous Flying Ad Hoc Networks Linked to a Central Station by Ercan Erkalkan, Vedat Topuz, Ali Buldu

“…Despite over a decade of experimental efforts in multi-UAV systems, substantial theoretical challenges concerning coordination mechanisms still need to be solved, particularly in maintaining network connectivity and optimizing routing. Current research has revealed the absence of an efficient algorithm tailored for the routing problem of multiple UAVs connected to a central station, especially under the constraints of maintaining constant network connectivity and minimizing the average goal revisit time. …”
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Sea-Ice Surface Types Characterization and SAR Volume Backscattering Properties in Response to Sea States Interactions Using Structural Feature Fusion by Iman Heidarpour Shahrezaei, Hyun-Cheol Kim

“…The reconstructed reference sea-ice model is then subjected to an inverse problem solution analysis to generate the SAR volume backscattering dataset. …”
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Adaptive Multiobjective Evolutionary Generative Adversarial Network for Metaverse Network Intrusion Detection by Dikai Xu, Bin Cao

“…This paper further introduces a double mutation multiobjective evolutionary neural architecture search algorithm, integrating both the multiobjective evolutionary algorithm and the neural architecture search to optimize accuracy, real-time performance, and model diversity—a crucial aspect for Metaverse devices with diverse hardware constraints. …”
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ETC-PCR: Coarse-to-Fine Edge-Triangle Compatibility for Robust and Accurate Point Cloud Registration by Mingyuan Zhao, Long Xu

“…Finally, a geometry-based pose refinement module is presented, which utilizes the original geometric information and formulates registration as a nonlinear least squares problem. To enhance robustness against outliers, Welsch function is selected as a robust kernel, efficiently solving the optimization using the Majorization-Minimization algorithm. …”
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Pelaksanaan Redistribusi Tanah Eks Hak Guna Usaha by Zaenal Arifin, Nikmatul Wachidah

“…This study aims to analyze the implementation of land redistribution of ex-use rights(HGU) as well as to analyze the constraints and solutions for implementing the land redistribution in Semarang Regency. …”
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A Heuristic Approach to Identify the Steel Grid Direction of R/C Slabs Using the Yield-Line Method for Analysis by Luigi Fenu, Valeria Colasanti, Eleonora Congiu, Gian Felice Giaccu, Francesco Trentadue, Bruno Briseghella

“…The constraints that often limit these parameters are taken into account through the exterior penalty function method, leading to a successful solution of the problem. …”
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Software Design for Inventory Management Improvement in a Peruvian National University by Linett Velasquez, Santiago Rubiños, Junior Grados, Juan Grados, Claudia Marrujo

“… The purpose of this study was to design a software to optimize inventory management in the Office of Information Technology and Communications (OTIC) of the Faculty of Industrial Engineering and Systems of the Universidad Nacional del Callao, Peru. …”
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Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…The particle swarm optimization (PSO) algorithm is refined with enhanced termination criteria and integrated with the 3D Bishop method to search for the minimum factor of safety (F). …”
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A location-dependent task assignment mechanism in vehicular crowdsensing by Lanlan Rui, Pan Zhang, Haoqiu Huang, Xuesong Qiu

“…Using Lingo software, we prove the efficiency of the proposed optimal sensing path scheduling algorithm. Extensive simulation results also demonstrate correctness and effectiveness of our approach.…”
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An Energy-Efficient Clustering Routing Protocol Based on Evolutionary Game Theory in Wireless Sensor Networks by Deyu Lin, Quan Wang, Deqin Lin, Yong Deng

“…A mathematical model aiming to ease the hot spots problem via optimizing the cluster size is proposed and an optimal cluster size (OCS) algorithm is given firstly. …”
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Let’s Go Bananas: Beyond Bounding Box Representations for Fisheye Camera-Based Object Detection in Autonomous Driving by Senthil Yogamani, Ganesh Sistu, Patrick Denny, Jane Courtney

“…Object detection is a mature problem in autonomous driving, with pedestrian detection being one of the first commercially deployed algorithms. …”
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Pseudo-class distribution guided multi-view unsupervised domain adaptation for hyperspectral image classification by Jingpeng Gao, Xiangyu Ji, Geng Chen, Yuhang Huang, Fang Ye

“…We transform the label correction into a zero–one programming problem and optimize it with the estimated pseudo-class distribution as a constraint. …”
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Factors influencing the effectiveness of SM-VCE method in solving 3D surface deformation by Xupeng Liu, Guangyu Xu, Mingkai Chen, Tengxu Zhang

“…As of now, there are two main types of methods for recovering coseismic 3D surface deformations: the first type is to solve the problem directly by using the least squares method based on observations from three or more viewpoints, and the second type solves the problem by combining ascending and descending InSAR line-of-sight (LOS) observations with constraint models. …”
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