Instrumental Supporting System for Developing and Analysis of Software-Defined Networks of Mobile Objects by V. A. Sokolov, S. V. Korsakov, A. V. Smirnov, V. A. Bashkin, E. S. Nikitin

“…It is based on the suggested heuristic algorithms. The description and characteristics of the simulator are stated in the article. …”
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Optimal Design of River Groynes using Meta-Heuristic Models by Somayeh Emami, Javad Parsa

“…Therefore, the aim of the present studywas to optimal design of structure and to present analytical results of Zanjanrood river breakwaters (in terms of length and distance between two consecutive breakwaters) using two optimization meta-heuristic algorithms including the Gray Wolf Algorithm (GWO) and the Election Algorithm (EA). …”
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Agent Scheduling in Unrelated Parallel Machines with Sequence- and Agent–Machine–Dependent Setup Time Problem by Jesús Isaac Vázquez-Serrano, Leopoldo Eduardo Cárdenas-Barrón, Rodrigo E. Peimbert-García

“…Three different solvers are used and compared, and heuristics algorithms are tested using randomly generated instances. …”
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Is the Artificial Pollination of Walnut Trees with Drones Able to Minimize the Presence of <i>Xanthomonas arboricola</i> pv. <i>juglandis</i>? A Review by Ioannis Manthos, Thomas Sotiropoulos, Ioannis Vagelas

“…Thus, our purpose was to describe a pollination model with fundamental components, including the identification of the “core” pollen microbiota, the use of drones for artificial pollination as a successful tool for managing walnut blight disease, specifying an appropriate flower pollination algorithm, design of an autonomous precision pollination robot, and minimizing the average errors of flower pollination algorithm parameters through machine learning and meta-heuristic algorithms.…”
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Dragonfly Algorithm with Opposition-Based Learning for Multilevel Thresholding Color Image Segmentation by Xiaoli Bao, Heming Jia, Chunbo Lang

“…In order to clearly demonstrate the outstanding performance of the OBLDA, the proposed method is compared with seven state-of-the-art meta-heuristic algorithms, through experiments on 10 test images. …”
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Heuristic approaches for the car sequencing problems with block batches by Yingjie Yu, Xiaochun Lu, Tao Zhao, Minjiao Cheng, Lin Liu, Wenchao Wei

“…Besides, we develop two math-heuristic algorithms to solve the proposed large-scale CSP. …”
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Analysis of transmission line modeling routines by using offsets measured least squares regression ant lion optimizer in ORPD and ELD problems by G. Veera Bhadra Chary, K. Mercy Rosalina

“…Also, the effectiveness of proposed method was also verified by comparing results with other meta heuristic algorithms.…”
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Research on Green Vehicle Path Planning of AGVs with Simultaneous Pickup and Delivery in Intelligent Workshop by Xiaojun Zheng, Feng Gao, Xiaoying Tong

“…The experimental results show that DE-LNS yields competitive results, compared to advanced heuristic algorithms. The effectiveness and applicability of the proposed algorithm are verified. …”
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Efficient Position Change Algorithms for Prolonging Driving Range of a Truck Platoon by Issaree Srisomboon, Sanghwan Lee

“…To solve this in-equivalent fuel consumption reduction benefit, this paper presents several heuristic algorithms to balance fuel consumption reduction and prolong the driving ranges by exploiting position changes among trucks in a platoon. …”
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AN IMPROVED GREY WOLF OPTIMIZATION-BASED LEARNING OF ARTIFICIAL NEURAL NETWORK FOR MEDICAL DATA CLASSIFICATION by Narender Kumar, Dharmender Kumar

“…An adequate equilibrium among exploration and exploitation is a key factor to the success of meta-heuristic algorithms especially for optimization task. In this paper, a new variant of GWO, called inertia motivated GWO (IMGWO) is proposed. …”
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A Modified Grey Wolf Optimization Algorithm for an Intrusion Detection System by Abdullah Alzaqebah, Ibrahim Aljarah, Omar Al-Kadi, Robertas Damaševičius

“…The proposed technique was tested against various meta-heuristic algorithms using the UNSWNB-15 dataset. Because the generic attack is the most common attack type in the dataset, the primary goal of this paper was to detect generic attacks in network traffic. …”
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Enhanced Grey Wolf Optimizer Based MPPT Algorithm of PV System Under Partial Shaded Condition by Santhan Kumar Cherukuri, Srinivasa Rao Rayapudi

“…An attractive solution under partial shaded condition is application of meta-heuristic algorithms to operate at global maximum power point. …”
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An Overview of Demand Response in Smart Grid and Optimization Techniques for Efficient Residential Appliance Scheduling Problem by Amit Shewale, Anil Mokhade, Nitesh Funde, Neeraj Dhanraj Bokde

“…The reviewed studies are classified into classical techniques, heuristic approaches, and meta-heuristic algorithms. Based on this overview, the future research directions are proposed.…”
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Emergent Search of UAV Swarm Guided by the Target Probability Map by Shengyang Liu, Wen Yao, Xiaozhou Zhu, Yuan Zuo, Bin Zhou

“…The statistical results also indicate that the searching efficiency of the proposed ESUSTPM is higher than the traditional searching algorithms based on the division and allocation of the area or the heuristic algorithms.…”
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Design and Robust Performance Analysis of Low-Order Approximation of Fractional PID Controller Based on an IABC Algorithm for an Automatic Voltage Regulator System by Abdelhakim Idir, Laurent Canale, Yassine Bensafia, Khatir Khettab

“…The performance of the proposed IABC/LOA-FOPID controller was compared not only to the original ABC algorithm-tuned PID controller, but also to other controllers tuned by state-of-the-art meta-heuristic algorithms such as the improved whale optimization algorithm (IWOA), particle swarm optimization (PSO), cuckoo search (CS), many optimizing liaisons (MOL), genetic algorithm (GA), local unimodal sampling (LUS), and the tree seed algorithm (TSA). …”
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Comparison of Optimization-Regulation Algorithms for Secondary Cooling in Continuous Steel Casting by Michal Brezina, Tomas Mauder, Lubomir Klimes, Josef Stetina

“…The paper also contains a brief description of applied heuristic algorithms. Some of the algorithms exhibited faster convergence rate than others, but the optimal solution was reached in every optimization run by only one algorithm.…”
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Resource Allocation in Cell-Free Massive MIMO Networks With Hybrid Energy Supplies by Farzad Moradi, Vesal Hakami, Seyed Vahid Azhari

“…Then, we come up with a suite of lightweight model-free myopic heuristic algorithms, and compare their performance against offline benchmark.…”
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Penyelesaian Masalah Penempatan Fasilitas dengan Algoritma Estimasi Distribusi dan Particle Swarm Optimization by Amalia Utamima, Angelia Melani Andrian

“…To maintain the diversity, hybridization with meta-heuristic algorithms is needed. This research proposes EDAPSO, an algorithm which consists of hybridization of EDA and Particle Swarm Optimization (PSO). …”
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Graph neural network-based cell switching for energy optimization in ultra-dense heterogeneous networks by Kang Tan, Duncan Bremner, Julien Le Kernec, Yusuf Sambo, Lei Zhang, Muhammad Ali Imran

“…This paper proposes a GNN-based cell switching solution (GBCSS) that has a smaller computational complexity than existing heuristic algorithms. The presented performance evaluation uses the Milan telecommunication dataset based on real-world call detail records, comparing GBCSS with a traditional exhaustive search (ES) algorithm, a state-of-the-art learning-based algorithm, and the baseline without cell switching. …”
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Geo-Based Resource Allocation for Joint Clustered V2I and V2V Communications in Cellular Networks by Jaafar Sadiq Alrubaye, Behrouz Shahgholi Ghahfarokhi

“…This paper proposes two heuristic algorithms that enable CHs to use some RBs already assigned to V2V communications for their V2I links without significantly affecting QoS requirements of V2V connections.The proposed algorithms take into account the formed V2I clusters and their loads, and are consequently routing-aware. …”
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