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Статті в журналах з теми "Improved Intelligent Water Drop Algorithm"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Wang, Tao, Jing Ni, and Yixuan Wang. "An Intelligent Water Drop Algorithm for Solving Multi-Objective Vehicle Routing Problems With Mixed Time Windows." International Journal of Strategic Decision Sciences 10, no. 1 (2019): 82–104. http://dx.doi.org/10.4018/ijsds.2019010106.

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Анотація:

This article proposes an Intelligent Water Drop Algorithm for solving Multi-Objective Vehicle Routing Problems by considering the constraints of vehicle volume, delivery mileage, and mixed time windows and minimizing the cost of distribution and the minimum number of vehicles. This article improves the basic Intelligent Water Drop Algorithm and show the improved intelligent water droplet genetic hybrid algorithm is an effective method for solving discrete problems. The authors present a practical example and show the applicability of the proposed algorithm. The authors compare the algorithms w

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2

Dr.K.Lenin. "REDUCTION OF ACTIVE POWER LOSS BY IMPROVED INTELLIGENT WATER DROP ALGORITHM." International Journal of Research - Granthaalayah 5, no. 11 (2017): 116–25. https://doi.org/10.5281/zenodo.1069332.

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In this paper, Improved Intelligent Water Drop (IIW) algorithm has been proposed to solve the optimal reactive power problem. In this work firefly and water drop algorithm has been combined to improve the exploration & exploitation. Fire fly algorithm imitates the firefly light flashing behaviour is an astonishing signal in the sky, usually found in tropical and temperate regions.  Water drop algorithm contains a few necessary elements of natural water drops and action and reaction that occur between river bed & the water drops that flow within.  Proposed Improved Intelligent

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3

Lenin, K. "REDUCTION OF ACTIVE POWER LOSS BY IMPROVED INTELLIGENT WATER DROP ALGORITHM." International Journal of Research -GRANTHAALAYAH 5, no. 11 (2017): 116–25. http://dx.doi.org/10.29121/granthaalayah.v5.i11.2017.2335.

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Анотація:

In this paper, Improved Intelligent Water Drop (IIW) algorithm has been proposed to solve the optimal reactive power problem. In this work firefly and water drop algorithm has been combined to improve the exploration & exploitation. Fire fly algorithm imitates the firefly light flashing behaviour is an astonishing signal in the sky, usually found in tropical and temperate regions. Water drop algorithm contains a few necessary elements of natural water drops and action and reaction that occur between river bed & the water drops that flow within. Proposed Improved Intelligent Water Drop

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4

Chen, Gang, Xiaoyuan Wu, Jinghua Li, and Hui Guo. "Green Vehicle Routing and Scheduling Optimization of Ship Steel Distribution Center Based on Improved Intelligent Water Drop Algorithms." Mathematical Problems in Engineering 2020 (January 9, 2020): 1–13. http://dx.doi.org/10.1155/2020/9839634.

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The timeliness of the steel distribution center process contributes to the smooth progress of ship construction. However, carbon emissions from vehicles in the distribution process are a major source of pollution. Reasonable vehicle routing and scheduling can effectively reduce the carbon emissions of vehicles and ensure the timeliness of distribution. To solve this problem, a green vehicle routing and scheduling problem model with soft time windows was proposed in this study. An intelligent water drop algorithm was designed and improved and then compared with the genetic algorithm and the tra

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5

Li, Jinghua, Hui Guo, Qinghua Zhou, and Boxin Yang. "Vehicle Routing and Scheduling Optimization of Ship Steel Distribution Center under Green Shipbuilding Mode." Sustainability 11, no. 15 (2019): 4248. http://dx.doi.org/10.3390/su11154248.

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Анотація:

Timeliness of steel distribution centers can effectively ensure the smooth progress of ship construction, but the carbon emissions of vehicles in the distribution process are also a major source of pollution. Therefore, when considering the common cost of vehicle distribution, taking the carbon emissions of vehicles into account, this paper establishes a Mixed Integer Linear Programming (MILP) model called green vehicle routing and scheduling problem with simultaneous pickups and deliveries and time windows (GVRSP-SPDTW). An intelligent water drop algorithm is designed and improved, and compar

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6

Siddique, Nazmul, and Hojjat Adeli. "Water Drop Algorithms." International Journal on Artificial Intelligence Tools 23, no. 06 (2014): 1430002. http://dx.doi.org/10.1142/s0218213014300026.

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This article presents a review of a novel nature-inspired adaptive optimization algorithm known as Water Drop Algorithm (WDA) which imitates the dynamics of river systems and the behavior of water drops when they are moving in a river system such as the variation of velocity, the change of sediment/soil in the river bed, the change of direction of the flow, and so on. Recent improved, modified, and adaptive WDAs are examined in this paper. Various applications of WDA are described briefly including the vehicle routing problem, economic load dispatch problem, economic and emission dispatch prob

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7

Alhenawi, Esra’a, Hadeel Alazzam, Rizik Al-Sayyed, Orieb AbuAlghanam, and Omar Adwan. "Hybrid Feature Selection Method for Intrusion Detection Systems Based on an Improved Intelligent Water Drop Algorithm." Cybernetics and Information Technologies 22, no. 4 (2022): 73–90. http://dx.doi.org/10.2478/cait-2022-0040.

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Abstract A critical task and a competitive research area is to secure networks against attacks. One of the most popular security solutions is Intrusion Detection Systems (IDS). Machine learning has been recently used by researchers to develop high performance IDS. One of the main challenges in developing intelligent IDS is Feature Selection (FS). In this manuscript, a hybrid FS for the IDS network is proposed based on an ensemble filter, and an improved Intelligent Water Drop (IWD) wrapper. The Improved version from IWD algorithm uses local search algorithm as an extra operator to increase the

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8

Luangpaiboon, Pongchanun. "Optimisation of Manufacturing Process Models via Intelligent Water Drop Algorithm." Applied Mechanics and Materials 217-219 (November 2012): 1501–5. http://dx.doi.org/10.4028/www.scientific.net/amm.217-219.1501.

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In this paper, an intelligent water drop algorithm or IWD has been developed to optimise machining parameters in turning operation including a spring force model. Firstly, machining conditions are to minimise the production cost in conventional manufacturing processes. Several passes of rough machining are started on the turning operation with a final pass of a finishing. Various constraints are considered in each non-linear and non-convex model. The machining parameters in the turning consist of the depth of cut, cutting speed and feed. Finally, in a specialised manufacturing application on t

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9

Msallam, Mohammed M., and Mohammad Hamdan. "Improved intelligent water drops algorithm using adaptive schema." International Journal of Bio-Inspired Computation 3, no. 2 (2011): 103. http://dx.doi.org/10.1504/ijbic.2011.039909.

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10

Vaiyapuri, Thavavel, M. Sivakumar, Shridevi S, et al. "An intelligent water drop algorithm with deep learning driven vehicle detection and classification." AIMS Mathematics 9, no. 5 (2024): 11352–71. http://dx.doi.org/10.3934/math.2024557.

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<abstract> <p>Vehicle detection in Remote Sensing Images (RSI) is a specific application of object recognition like satellite or aerial imagery. This application is highly beneficial in different fields like defense, traffic monitoring, and urban planning. However, complex particulars about the vehicles and the surrounding background, delivered by the RSIs, need sophisticated investigation techniques depending on large data models. This is crucial though the amount of reliable and labelled training datasets is still a constraint. The challenges involved in vehicle detection from th

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11

Nonita, S., Pardayev Abdunabi Xalikovich, C. Ramesh Kumar, et al. "Intelligent Water Drops Algorithm-Based Aggregation in Heterogeneous Wireless Sensor Network." Journal of Sensors 2022 (September 28, 2022): 1–12. http://dx.doi.org/10.1155/2022/6099330.

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This paper provides a novel implementation of the intelligent water drops (IWD) method for resolving data aggregation issues in heterogeneous wireless sensor networks (WSN). When the aggregating node is utilized to transmit the data to the base station, the research attempts to show that the traffic situations of WSN may be modified appropriately by parameter tuning and algorithm modification. IWD is used to generate an optimum data aggregation tree in WSN as one of its applications. IWD assumes that all nodes in the environment are identical, resulting in identical parameter updates for all n

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12

Niu, S. H., S. K. Ong, and A. Y. C. Nee. "An improved Intelligent Water Drops algorithm for achieving optimal job-shop scheduling solutions." International Journal of Production Research 50, no. 15 (2012): 4192–205. http://dx.doi.org/10.1080/00207543.2011.600346.

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13

Niu, S. H., S. K. Ong, and A. Y. C. Nee. "An improved intelligent water drops algorithm for solving multi-objective job shop scheduling." Engineering Applications of Artificial Intelligence 26, no. 10 (2013): 2431–42. http://dx.doi.org/10.1016/j.engappai.2013.07.011.

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14

Abhishek, Kumar Sahu, Sharma Durga, and Mishra Anup. "PV-grid performance improvement through integrated intelligent water drop optimization with neural network for maximum power point tracking." i-manager’s Journal on Electrical Engineering 18, no. 1 (2024): 1. https://doi.org/10.26634/jee.18.1.21181.

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This paper presents an optimized model that combines the Intelligent Water Drop (IWD) optimization algorithm and a neural network (NN) for maximum power point tracking (MPPT) in photovoltaic (PV) applications. The proposed approach demonstrates superior performance compared to conventional methods, including Fuzzy Logic Control, Perturb and Observe (P&O), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Incremental Conductance (INC) control. The enhanced model improves adaptability and convergence due to the optimization capabilities of the IWD algorithm and leverages the pre

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15

Duan, Chaofan, Jing Feng, and Haotian Chang. "Meteorology-Aware Path Planning for the UAV Based on the Improved Intelligent Water Drops Algorithm." IEEE Access 9 (2021): 49844–56. http://dx.doi.org/10.1109/access.2021.3068972.

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16

Pham, Quoc Bao, Haitham Abdulmohsin Afan, Babak Mohammadi, et al. "Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm." Soft Computing 24, no. 23 (2020): 18039–56. http://dx.doi.org/10.1007/s00500-020-05058-5.

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17

AlDeeb, Bashar Abedal Mohdi, Norita Md Norwawi, and Mohammed A. Al-Betar. "A Survey on Intelligent Water Drop Algorithm." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 13, no. 10 (2014): 5075–84. http://dx.doi.org/10.24297/ijct.v13i10.2329.

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Анотація:

In the optimization areas, there are different algorithms that have been applied such as swarm intelligence algorithms. The researchers have found different algorithms by simulating the behaviors of various swarms of insects and animals such as fishes, bees, and ants. The intelligent water drops algorithm is one of the recently developed algorithms in the swarm intelligence field; this algorithm mimicked the dynamic of river systems. The natural water drops used to develop Intelligent Water Drop (IWD) algorithm. Therefore, the mechanisms that happen in rivers have inspired the researchers main

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18

Abdous, Majid, and Touraj Banirostam. "Cloud Computing Intelligent Management by Metaheuristic Algorithm of Intelligent Water Drop." IJARCCE 5, no. 3 (2016): 1–6. http://dx.doi.org/10.17148/ijarcce.2016.5301.

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19

Gao, Bo, Xiaoyu Hu, Zhenrui Peng, and Yubo Song. "Application of intelligent water drop algorithm in process planning optimization." International Journal of Advanced Manufacturing Technology 106, no. 11-12 (2020): 5199–211. http://dx.doi.org/10.1007/s00170-019-04850-4.

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20

Marrwa, Abd-AlKareem Alabajee, Rafaa Ahmed Dena, and Riyadh Alreffaee Taghreed. "Solving software project scheduling problem using grey wolf optimization." TELKOMNIKA (Telecommunication, Computing, Electronics and Control) 19, no. 6 (2021): 1820–29. https://doi.org/10.12928/telkomnika.v19i6.16758.

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In this paper, we will explore the application of grey wolf optimization (GWO) methodology in order to solve the software project scheduling problem (SPSP) to seek an optimum solution via applying different instances from two datasets. We will focus on the effects of the quantity of employees as well as the number of tasks which will be accomplished. We concluded that increasing employee number will decrease the project’s duration, but we could not find any explanation for the cost values for all instances that studied. Also, we concluded that, when increasing the number of the tasks, bo

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21

S, Nithyanandh, and Jaiganesh V. "Quality of service enabled intelligent water drop algorithm based routing protocol for dynamic link failure detection in wireless sensor network." Indian Journal of Science and Technology 13, no. 16 (2020): 1641–47. https://doi.org/10.17485/IJST/v13i16.19.

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Abstract <strong>Objectives:</strong> To propose a better routing protocol method to increase the lifespan of the network and to make the sensed data to reach from source to destination without any data loss. <strong>Methods:</strong> This study proposes a routing protocol inspired by nature namely, Quality of Service enabled Intelligent Water Drop Algorithm based Routing Protocol to detect link failures and provide efficient routing.<strong> Findings:</strong> Comparison has been made with baseline protocols to check its effectiveness and found that the proposed proto

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22

Lenin, K., and M. Surya Kalavathi. "An Intelligent Water Drop Algorithm for Solving Optimal Reactive Power Dispatch Problem." International Journal on Electrical Engineering and Informatics 4, no. 3 (2012): 450–63. http://dx.doi.org/10.15676/ijeei.2012.4.3.6.

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23

Li, Chunquan, Ming Zhang, Yuling Shang, and Yuwei Hu. "Research on the cable routing optimisation by hybrid intelligent water drop algorithm." International Journal of Materials and Structural Integrity 12, no. 1/2/3 (2018): 208. http://dx.doi.org/10.1504/ijmsi.2018.093910.

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24

Hu, Yuwei, Yuling Shang, Chunquan Li, and Ming Zhang. "Research on the cable routing optimisation by hybrid intelligent water drop algorithm." International Journal of Materials and Structural Integrity 12, no. 1/2/3 (2018): 208. http://dx.doi.org/10.1504/ijmsi.2018.10014947.

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25

Alijla, Basem O., Chee Peng Lim, Li-Pei Wong, Ahamad Tajudin Khader, and Mohammed Azmi Al-Betar. "An ensemble of intelligent water drop algorithm for feature selection optimization problem." Applied Soft Computing 65 (April 2018): 531–41. http://dx.doi.org/10.1016/j.asoc.2018.02.003.

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26

Khaleel, Almas Ahmed. "Multi-spectral images classification based on intelligent water drops algorithm." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 1 (2021): 116. http://dx.doi.org/10.11591/ijeecs.v24.i1.pp116-125.

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Анотація:

Mosul's city land covers soil, cultivated land, stony, pastoral land, water, and ploughed agricultural land. We have classified multispectral images captured by the sensor (TM) carried on the Landsat satellite. Integrated approach of intelligent water drops (IWDs) algorithm is used to identify natural terrain. In this research, IWDs have been suggested to find the best results for multispectral image classification. The purpose of using an algorithm, give accurate and fast results by comparing the IWD algorithm with the K-mean algorithm. The IWD algorithm is programmed using the Matlab2017b so

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27

Khaleel, Almas Ahmed. "Multi-spectral images classification based on intelligent water drops algorithm." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 1 (2021): 116–25. https://doi.org/10.11591/ijeecs.v24.i1.pp116-125.

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Анотація:

Mosul's city land covers soil, cultivated land, stony, pastoral land, water, and ploughed agricultural land. We have classified multispectral images captured by the sensor (TM) carried on the Landsat satellite. Integrated approach of intelligent water drops (IWDs) algorithm is used to identify natural terrain. In this research, IWDs have been suggested to find the best results for multispectral image classification. The purpose of using an algorithm, give accurate and fast results by comparing the IWD algorithm with the k-mean algorithm. The IWD algorithm is programmed using the MATLAB 201

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28

Luis, Antonio Moncayo-Martínez. "Supply chain design using a modified IWD algorithm." Revista Facultad de Ingeniería –redin-, no. 84 (September 25, 2017): 9–16. https://doi.org/10.17533/udea.redin.n84a02.

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The Intelligent Water Drop (IWD) algorithm is inspired by the movement of real water drops in a river. A water drop could find an optimum path to a lake or sea by interacting with the conditions of its surroundings. In the process of reaching such destination, the water drops interact with the river bed while they move through it. Similarly, the supply chain problem can be modelled as a flow of supply, manufacturing, and delivery stages that must be completed to produce a finished product and then to deliver it to the end user. The problem is to select one option that carries out the stage, e.

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29

Cheng, Hanlie, and Qiang Qin. "Design of Intelligent Control Systems for Layered Water Injections in Oilfields." International Journal of Distributed Systems and Technologies 15, no. 1 (2024): 1–13. http://dx.doi.org/10.4018/ijdst.342097.

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With rapid socio-economic growth and increased energy demand, exploration and exploitation of oil and gas resources have become crucial. Long-term exploitation leads to problems such as pressure drop and production reduction in oil fields, and water injection technology has become a common method to improve these problems. The traditional direct water injection for oil extraction has problems such as high injection cost and low oil recovery efficiency. Therefore, an intelligent control system for different oilfield reservoirs is needed. This study focuses on the layered water injection intelli

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30

Kaur, Surinder, Gopal Chaudhary, Javalkar Dinesh Kumar, et al. "Optimizing Fast Fourier Transform (FFT) Image Compression using Intelligent Water Drop (IWD) Algorithm." International Journal of Interactive Multimedia and Artificial Intelligence IP, IP (2022): 1. http://dx.doi.org/10.9781/ijimai.2022.01.004.

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31

Rama Prabha, D., T. Jayabarathi, R. Umamageswari, and S. Saranya. "Optimal location and sizing of distributed generation unit using intelligent water drop algorithm." Sustainable Energy Technologies and Assessments 11 (September 2015): 106–13. http://dx.doi.org/10.1016/j.seta.2015.07.003.

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32

Tian, Yu, and Yonghong Zhang. "Evaluation of Accounting Data of Water Company Based on Combination Model." Scientific Programming 2022 (April 11, 2022): 1–9. http://dx.doi.org/10.1155/2022/3373420.

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Driven by the dual effects of artificial intelligence and accounting transformation, it has become one of the research hotspots of accounting intelligence in China to replace accountants with computers to make professional judgments and automatically evaluate accounting. On the basis of summarizing and analyzing the research status in the field of intelligent accounting, the realization path of intelligent accounting in water companies is put forward in this paper. By introducing the improved Apriori learning algorithm based on Boolean mapping matrix, intelligent data mining is carried out for

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33

Halder, Swapna, Haresh Kumar Sharma, Arindam Biswas, Olegas Prentkovskis, Saibal Majumder, and Paulius Skačkauskas. "On Enhanced Intelligent Water Drops Algorithm for Travelling Salesman Problem under Uncertain Paradigm." Transport and Telecommunication Journal 24, no. 3 (2023): 228–55. http://dx.doi.org/10.2478/ttj-2023-0019.

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Abstract Travelling salesman problem (TSP) is a well known combinatorial optimization problem which has drawn colossal attention due to its eclectic range of applications. In this article, we have proposed two modified versions of intelligent water drops (IWD) algorithm. The first one is the enhanced IWD (e-IWD) algorithm to solve single objective TSP. In the second modification, e-IWD algorithm has been extended to enhanced multi-objective IWD(e-MIWD) algorithm for solving multi-objective TSP. In order to achieve a better exploration capability in both of the proposed algorithms, the soil and

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34

Thilagavathi, Ms D., and Dr Antony Selvadoss Thanamani. "Scheduling in High Performance Computing Environment using Firefly Algorithm and Intelligent Water Drop Algorithms." International Journal of Engineering Trends and Technology 14, no. 1 (2014): 8–12. http://dx.doi.org/10.14445/22315381/ijett-v14p203.

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35

Liu, Bo, Ning Yang, Xiangwei Han, and Chen Liu. "Neural Network for Intelligent and Efficient Volleyball Passing Training." Mobile Information Systems 2021 (November 22, 2021): 1–7. http://dx.doi.org/10.1155/2021/3577541.

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Passing is a relatively basic technique in volleyball. In volleyball passing teaching, training the correct passing technique plays a very important role. The correct pass can not only accurately grasp the direction of the ball point and the drop point but also effectively connect the defense and the offense. In order to improve the efficiency and quality of volleyball passing training, improve the precise extraction of sport targets, reduce redundant feature information, and improve the generalization performance and nonlinear fitting capabilities of the algorithm, this paper studies volleyba

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36

Dehariya, Ashish Kumar, and Pragya Shukla. "Brain Image Segmentation to Diagnose Tumor by Applying Wiener Filter and Intelligent Water Drop Algorithm." International Journal of Computer Theory and Engineering 13, no. 3 (2021): 84–90. http://dx.doi.org/10.7763/ijcte.2021.v13.1294.

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37

Sun, Xixia, Su Pan, Nan Bao, and Ning Liu. "Hybrid ant colony and intelligent water drop algorithm for route planning of unmanned aerial vehicles." Computers and Electrical Engineering 111 (November 2023): 108957. http://dx.doi.org/10.1016/j.compeleceng.2023.108957.

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38

Gao, Yu-qin, Guo-hua Fang, You-peng Xu, Xin Zhang, and Li-jun Qu. "Evaluation of Water Conservancy Project Management Modernization Based on Improved intelligent algorithm." Applied Mathematics & Information Sciences 7, no. 3 (2013): 1173–79. http://dx.doi.org/10.12785/amis/070340.

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39

Norwick, Ethan L., Adrian T. Caldwell, Vincent M. Roemer, and Felix J. Hargrove. "Intelligent Algorithm-Driven Optimization of Water-Cooled Plate Structures for Enhanced Thermal Performance." Journal of Computer, Signal, and System Research 2, no. 2 (2025): 42–47. https://doi.org/10.71222/2xatmz14.

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The study presents a systematic approach to optimizing heat sink performance in high-heat flux applications through topology optimization (TO). A computational framework was developed that combines computational fluid dynamics (CFD) simulations with a simplified two-dimensional thermo-fluidic model to reduce computational complexity while maintaining accuracy. The design domain was constructed to minimize pressure drop under specific thermal constraints, with material properties interpolated using a rational approximation of material properties (RAMP) method to ensure a smooth transition betwe

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40

Sun, Liang, Yue-lin Zhao, and Jian Zhang. "Research on path Planning algorithm of Unmanned ship in narrow Water area." Journal of Physics: Conference Series 2029, no. 1 (2021): 012122. http://dx.doi.org/10.1088/1742-6596/2029/1/012122.

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Abstract Aiming at the problems of strong random search characteristics and high volatility of planning path in bi-directional Rapidly-exploring Random Tree (bi-RRT) algorithm, a new random tree growth strategy is proposed, the connection between random trees is improved to improve the path-finding speed of the algorithm, and the improved bi-RRT algorithm is used to design a path planning algorithm for unmanned ships in narrow waters. At the end of this paper, the unmanned ship path planning experiment in the island and reef area is carried out, and the experimental results show that the unman

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41

Li, Zhengqian, Lianbo Li, Wenjun Zhang, Wenhao Wu, and Zhenyu Zhu. "Research on Unmanned Ship Path Planning based on RRT Algorithm." Journal of Physics: Conference Series 2281, no. 1 (2022): 012004. http://dx.doi.org/10.1088/1742-6596/2281/1/012004.

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Abstract The increase of water shipping density, coupled with the increasing complexity of the waterway, the ship's intelligent collision avoidance system plays a pivotal role in the transportation safety of shipping. Therefore, it has gradually become the focus of water traffic safety research. In recent years, China is still facing a period of great development in navigation technology, safety, green, digital, intelligent will become the development trend. Although the waterway environment has been improving, the increase of shipping vessels has led to frequent accidents in the waterway, and

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Xuan, Wu, and Zeng Fanquan. "Design of electro-hydraulic servo loading controlling system based on fuzzy intelligent water drop fusion algorithm." Computers & Electrical Engineering 71 (October 2018): 485–91. http://dx.doi.org/10.1016/j.compeleceng.2018.08.010.

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P, Radha, and Sudha Bhuvaneswari N. "Equanimous Intelligent Water Drop Algorithm-Based Feed-Forward Neural Network (EIWDA-FFNN) for Improving Sentiment Analysis." International Journal of Engineering Trends and Technology 71, no. 9 (2023): 341–55. http://dx.doi.org/10.14445/22315381/ijett-v71i9p230.

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Joseph, Kiran, Ashok K. Sharma, and Rudi van Staden. "Development of an Intelligent Urban Water Network System." Water 14, no. 9 (2022): 1320. http://dx.doi.org/10.3390/w14091320.

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Water and wastewater services have been provided through centralised systems for more than a century. The operational and management approaches of the water systems face challenges induced by population growth, urbanisation, and ageing infrastructure. Recent advancements in water system engineering include the development of intelligent water networks. These intelligent networks address management and operational challenges associated with pressure and flow variations in the water network and it reduces the time for identification of pipe bursts and leakages. Research is required into the deve

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Li, Fang, Yunlan Wang, and Peng Li. "The Evaluation Model of Network QoS Based on Intelligent Water Droplets Algorithm." Discrete Dynamics in Nature and Society 2020 (June 8, 2020): 1–7. http://dx.doi.org/10.1155/2020/7059480.

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In order to solve the problem of the user demands to the quality of service (QoS) of network, this paper provides a novel QoS evaluation model based on the intelligent water droplets (IWD) algorithm. The model firstly gives the evaluation indexes of network QoS and establishes a multiobjective optimization function for solution in combination with the improved IWD. Then, mathematical simulation is used to conduct the in-depth study of the key factors influencing the evaluation model. Compared with the other methods, the algorithm has shown better adaptability in the simulation results.

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He, Shibiao, Xinyi Yang, and Yong Liao. "Improved Tomlinson–Harashima Precoding for Ultra Reliable Communication in Intelligent Transportation Systems." Complexity 2021 (April 3, 2021): 1–10. http://dx.doi.org/10.1155/2021/5585892.

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Cyber-physical systems (CPSs) are characterized by integrating computation and physical processes. To cope with the challenges of the application of the CPSs in all kinds of environments, especially the cellular vehicle-to-everything (C-V2X) which needs high quality end-to-end communication, the robustness and reliability for CPSs are very crucial. Aiming at the technical challenges of information transmission caused by the fading effect and the fast time-varying characteristics of the channel for C-V2X communication, an improved Tomlinson–Harashima precoding (THP) algorithm for multiple input

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Bahrami, Amir, and Saeed Reza Ostadzadeh. "Back scattering response from single, finite and infinite array of nonlinear antennas based on intelligent water drops algorithm." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 6 (2019): 2040–56. http://dx.doi.org/10.1108/compel-08-2018-0317.

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Purpose The purpose of this paper is to calculate the back scattering response from single, finite and infinite arrays of nonlinear antennas like the case where the antennas are exposed to high-value signals such as lightning strokes. Design/methodology/approach In this paper, the authors have used a recently introduced optimization technique called intelligent water drop. Findings The results exhibit that the method used by the authors is faster and more accurate than other conventional optimization algorithms, i.e. particle swarm optimization and genetic algorithm. Originality/value A new op

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Khaleel, Shahbaa I., and Ragad W. Khaled. "Image retrieval based on swarm intelligence." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (2021): 5390. http://dx.doi.org/10.11591/ijece.v11i6.pp5390-5401.

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To keep pace with the development of modern technology in this information technology era, and the immense image databases, whether personal or commercial, are increasing, is requiring the management of these databases to strong and accurate systems to retrieve images with high efficiency. Because of the swarm intelligence algorithms are great importance in solving difficult problems and obtaining the best solutions. Here in this research, a proposed system is designed to retrieve color images based on swarm intelligence algorithms. Where the algorithm of the ant colony optimization (ACOM) and

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Shahbaa, I. Khaleel, and W. Khaled Ragad. "Image retrieval based on swarm intelligence." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (2021): 5390–401. https://doi.org/10.11591/ijece.v11i6.pp5390-5401.

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To keep pace with the development of modern technology in this information technology era, and the immense image databases, whether personal or commercial, are increasing, is requiring the management of these databases to strong and accurate systems to retrieve images with high efficiency. Because of the swarm intelligence algorithms are great importance in solving difficult problems and obtaining the best solutions. Here in this research, a proposed system is designed to retrieve color images based on swarm intelligence algorithms. Where the algorithm of the ant colony optimization (ACOM) and

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Mou, Junmin, Yangying He, Benren Zhang, Shixuan Li, and Yong Xiong. "Path Following of a Water-Jetted USV Based on Maneuverability Tests." Journal of Marine Science and Engineering 8, no. 5 (2020): 354. http://dx.doi.org/10.3390/jmse8050354.

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Due to the high propulsive efficiency and better maneuverability under high speed, the water-jetted unmanned surface vehicle (USV) is widely studied and used. This paper presents complete maneuvering tests and control algorithm designed for a twin water-jetted USV model. Firstly, a wireless network control platform is established, and maneuvering tests, for instance, an inertia test, zig-zag test and turning test, are carried out to verify the maneuverability of the USV. In light of the complexity and uncertainty of ship sailing and ship handling, the Human Simulated Intelligent Control (HSIC)

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