Relevant bibliographies by topics / Adaptive Charged System Search Algorithm

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
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Academic literature on the topic 'Adaptive Charged System Search Algorithm'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Adaptive Charged System Search Algorithm"

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Dr.K.Lenin. "REDUCTION OF ACTIVE POWER LOSS BY ADAPTIVE CHARGED SYSTEM SEARCH ALGORITHM." International Journal of Research - Granthaalayah 5, no. 10 (2017): 34–45. https://doi.org/10.5281/zenodo.1039583.

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This paper presents a new optimization algorithm called Adaptive Charged System Search Algorithm (ACA) for solving optimal power problem. Coulomb law from electrostatics and the Newtonian laws of mechanics are forming the basics of the proposed algorithm. Adaptive Charged System Search Algorithm (ACA) is a multi-agent approach in which each agent is a Charged Particle (CP) & they affect each other based on their fitness values, separation of distances. The quantity of the resultant force is determined by using the electrostatics laws and the quality of the movement is determined using Newt
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Lenin, K. "REDUCTION OF ACTIVE POWER LOSS BY ADAPTIVE CHARGED SYSTEM SEARCH ALGORITHM." International Journal of Research -GRANTHAALAYAH 5, no. 10 (2017): 34–45. http://dx.doi.org/10.29121/granthaalayah.v5.i10.2017.2265.

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This paper presents a new optimization algorithm called Adaptive Charged System Search Algorithm (ACA) for solving optimal power problem. Coulomb law from electrostatics and the Newtonian laws of mechanics are forming the basics of the proposed algorithm. Adaptive Charged System Search Algorithm (ACA) is a multi-agent approach in which each agent is a Charged Particle (CP) & they affect each other based on their fitness values, separation of distances. The quantity of the resultant force is determined by using the electrostatics laws and the quality of the movement is determined using Newt
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Zakian, P., and A. Kaveh. "Economic dispatch of power systems using an adaptive charged system search algorithm." Applied Soft Computing 73 (December 2018): 607–22. http://dx.doi.org/10.1016/j.asoc.2018.09.008.

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Precup, Radu-Emil, Radu-Codruţ David, Emil M. Petriu, Stefan Preitl, and Mircea-Bogdan Rădac. "Novel Adaptive Charged System Search algorithm for optimal tuning of fuzzy controllers." Expert Systems with Applications 41, no. 4 (2014): 1168–75. http://dx.doi.org/10.1016/j.eswa.2013.07.110.

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Niknam, Taher, Farhad Bavafa, and Masoud Jabbari. "A novel self-adaptive learning charged system search algorithm for unit commitment problem." Journal of Intelligent & Fuzzy Systems 26, no. 1 (2014): 439–49. http://dx.doi.org/10.3233/ifs-130855.

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Pan, Yun, and Yike Ye. "Optimizing Adaptive Particle Swarm for Combined Fire and Storage Control FM Energy Reserve." Journal of Combinatorial Mathematics and Combinatorial Computing 123, no. 1 (2024): 449–59. https://doi.org/10.61091/jcmcc123-32.

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The combination of thermal power units’ stability and energy storage systems’ rapid response time enhances power system frequency control. However, high costs and battery life impacts from charging/discharging strategies limit energy storage adoption. This study proposes an adaptive weight-based particle swarm optimization algorithm (APSO) to optimize energy storage control for joint thermal-storage frequency modulation (FM). By analyzing the coupling between state of charge (SOC) and charging/discharging power, the study implements “shallow charging and discharging” with dynamic SOC constrain
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Li, Linhui, Haiyang Huang, Jing Lian, et al. "Research of Ant Colony Optimized Adaptive Control Strategy for Hybrid Electric Vehicle." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/239130.

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Energy management control strategy of hybrid electric vehicle has a great influence on the vehicle fuel consumption with electric motors adding to the traditional vehicle power system. As vehicle real driving cycles seem to be uncertain, the dynamic driving cycles will have an impact on control strategy’s energy-saving effect. In order to better adapt the dynamic driving cycles, control strategy should have the ability to recognize the real-time driving cycle and adaptively adjust to the corresponding off-line optimal control parameters. In this paper, four types of representative driving cycl
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Ghadbane, Houssam Eddine, Said Barkat, Azeddine Houari, Ali Djerioui, Hegazy Rezk, and Mohamed Louzazni. "Optimal Adaptive Fractional Order Integral Sliding Mode Controller-Energy Management Strategy for Electric Vehicles Based on Bald Eagle Search Algorithm." International Journal of Energy Research 2024 (February 20, 2024): 1–22. http://dx.doi.org/10.1155/2024/7844084.

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This research presents an optimal energy management system (EMS) for a lithium-ion battery-supercapacitor hybrid storage system used to power an electric vehicle. The storage systems are connected in parallel to the DC bus by bidirectional DC-DC converters and feed a synchronous reluctance motor through an inverter. The proposed energy management strategy is built on the idea to take full benefits of two combined methods: the bald eagle search algorithm and fractional order integral sliding mode control. To evaluate the effectiveness of the suggested optimal energy management strategy, an urba
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Borovin, Gennadii Konstantinovich, Yuri Filippovich Golubev, Aleksei Vasilievich Grushevskii, and Andrei Georgievich Tuchin. "Perturbation hollow spheres and planetary perturbation rings pursuant to the gravity assists scattering in the Solar system." Mathematica Montisnigri 55 (2022): 67–73. http://dx.doi.org/10.20948/mathmontis-2022-55-7.

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One of the types of gravitational scattering in the Solar system within the framework of the model of the circular restricted three-body problem (CR3BP) are the gravity assist maneuvers of the "particles of insignificant mass" (spacecraft, asteroids, comets, etc.). For their description, a physical analogy with the beam scattering of charged α-particles in a Coulomb field is useful. However, unlike the scattering of charged particles, there are external restrictions for the possibility of gravity assists executing related from the restricted size of planet's sphere of influence. At the same ti
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Zhu, Qi, Yingliang Li, and Jiuxu Song. "DSM and Optimization of Multihop Smart Grid Based on Genetic Algorithm." Computational Intelligence and Neuroscience 2022 (June 10, 2022): 1–10. http://dx.doi.org/10.1155/2022/5354326.

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Multihop smart grid is built on the basis of an integrated and high-speed communication network. Through the application of advanced sensing and measurement technology, equipment technology, control method, and advanced decision support system technology, the goal of reliable, safe, economic, efficient, environment-friendly, and safe use of the power grid is realized. In order to solve the problem of excessive demand for power supply, new energy power generation and demand response are proposed. According to the above background, the demand side economic scheduling problem is a complex optimiz
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Dissertations / Theses on the topic "Adaptive Charged System Search Algorithm"

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Бабецький, Ілля Сергійович. "Система адаптивного керування фотоелектричною системою". Магістерська робота, Київський національний університет технологій та дизайну, 2021. https://er.knutd.edu.ua/handle/123456789/19247.

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Дипломна магістерська робота присвячена підвищенню ефективності процесу перетворення енергії в фотоелектричній системі шляхом розробки алгоритмів екстремального регулювання потужності, які здатні функціонувати в умовах нестачі інформації про об'єкт управління. Для цього були розроблені моделі елементів фотоелектричної системи і адаптивні алгоритми регулювання потужності для управління процесом перетворення енергії в фотоелектричній системі та проведено комп'ютерне моделювання роботи фотоелектричної системи з адаптивною системою управління. За результатами досліджень розроблені адаптивні алгори
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Kuo, Tzu-Hsiang, and 郭子祥. "Study of the Optimal Reactive Power Dispatch for Wind Power Systems by using Charged System Search Algorithm." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/wrn977.

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碩士<br>國立臺北科技大學<br>電機工程系所<br>102<br>Problems on reactive power and voltage control are significant for power systems. Suitable adjustment can not only reduce active power loss, but improve voltage stability so as to maintain a stable operation. Traditional reactive power dispatch methods use the adjustment of generator terminal voltage, load taps of transformers in substations, and reactive power compensation devices to control voltage and enhance the supply quality. Traditional systems only considered the effect of load variations on the system voltage and reactive power, and associated techno
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Shin-WeiWei and 魏信維. "Algorithm and Circuit System for Temporal Error Concealment by using Adaptive Search Range Decision." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/80764797406063718875.

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碩士<br>國立成功大學<br>電機工程學系碩博士班<br>101<br>Owing to the rapid development of multimedia applications and networks, the multimedia communication has become more and more popular. To benefit the network transmission, H.264/AVC encoder usually codes the whole frame into single packet. Therefore, if video contents suffer from the packet loss in error-prone transmission channel, the visual quality will seriously degrade in decoder. To deal with this problem, error concealment method is widely utilized to recover the lost frame and prevent the error propagation. In this thesis, we propose a motion vector
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Moolman, A. J. (Alwyn Jakobus). "Design of a selective parallel heuristic algorithm for the vehicle routing problem on an adaptive object model." Thesis, 2010. http://hdl.handle.net/2263/29598.

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The Vehicle Routing Problem has been around for more than 50 years and has been of major interest to the operations research community. The VRP pose a complex problem with major benefits for the industry. In every supply chain transportation occurs between customers and suppliers. In this thesis, we analyze the use of a multiple pheromone trial in using Ant Systems to solve the VRP. The goal is to find a reasonable solution for data environments of derivatives of the basic VRP. An adaptive object model approach is followed to allow for additional constraints and customizable cost functions. A
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Book chapters on the topic "Adaptive Charged System Search Algorithm"

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Kaveh, Ali, and Armin Dadras Eslamlou. "The Charged System Search Algorithm for Adaptive Node Moving Refinement in Discrete Least-Squares Meshless Method." In Metaheuristic Optimization Algorithms in Civil Engineering: New Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45473-9_7.

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Xing, Bo, and Wen-Jing Gao. "Charged System Search Algorithm." In Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03404-1_20.

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Kaveh, A. "Charged System Search Algorithm." In Advances in Metaheuristic Algorithms for Optimal Design of Structures. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05549-7_3.

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Kaveh, Ali, and Taha Bakhshpoori. "Charged System Search Algorithm." In Metaheuristics: Outlines, MATLAB Codes and Examples. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04067-3_8.

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Kaveh, A. "Charged System Search Algorithm." In Advances in Metaheuristic Algorithms for Optimal Design of Structures. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46173-1_3.

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Kaveh, Ali. "Charged System Search Algorithm." In Advances in Metaheuristic Algorithms for Optimal Design of Structures. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59392-6_3.

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Talatahari, Siamak, and Mahdi Azizi. "An Extensive Review of Charged System Search Algorithm for Engineering Optimization Applications." In Springer Tracts in Nature-Inspired Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6773-9_14.

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Stillig, Javier, Carolin Brenner, and André Colomb. "Adaptive Intralogistics with Low-Cost AGVs for a Modular Production System." In Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27933-1_12.

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AbstractDue to ever faster changing market requirements, industrial production equipment needs to become much more flexible. For this reason, the Institute of Mechanical Handling and Logistics and the Institute of Electrical Energy Conversion are developing versatile, automated, and easily adaptable solutions to increase the flexibility of future intralogistics systems. As part of the ANTS 4.0 research project, a modular low-cost automated guided vehicle has been created, which breaks down the flow of goods into its smallest units: A small load carrier. The vehicle is prepared to be charged in
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Kaveh, Ali. "Shape Optimization of Arch Dams with Frequency Constraints by Enhanced Charged System Search Algorithm and Neural Network." In Applications of Artificial Neural Networks and Machine Learning in Civil Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-66051-1_10.

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Kaveh, A. "Simultaneous Shape–Size Optimization of Single-Layer Barrel Vaults Using an Improved Magnetic Charged System Search Algorithm." In Applications of Metaheuristic Optimization Algorithms in Civil Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48012-1_7.

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Conference papers on the topic "Adaptive Charged System Search Algorithm"

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Rao Nayak, P. Srinivasa, and M. Ganesh Babu. "Adaptive Random Search Algorithm Based On-Board Charger for WPT Based EV Battery Charging." In 2024 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, 2024. https://doi.org/10.1109/pedes61459.2024.10960871.

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Iyer, Vaishnavvignesh G., Cilaveni Satish Chandra, Pramit Nandi, Ravindranath Adda, and Praveen Tripathy. "Binary Search-Based Adaptive P&O MPPT Algorithm for TLBC-Based Photovoltaic System." In 2024 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, 2024. https://doi.org/10.1109/pedes61459.2024.10961518.

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Zhou, Jingxin, and Sa Meng. "Enhancing Video Smoothness in Cloud Desktops: An Improved Compression Framework With Adaptive Fast Search Algorithm." In 2025 11th International Symposium on System Security, Safety, and Reliability (ISSSR). IEEE, 2025. https://doi.org/10.1109/isssr65654.2025.00033.

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Zhou, Ning, Yujian Lin, Cong Dai, Rong Si, Jidong Wang, and Qipeng He. "An Adaptive Method of Distribution Network Branch Switch Protection Setting Calculation Based on Modified Depth First Search Algorithm." In 2024 International Conference on New Power System and Power Electronics (NPSPE). IEEE, 2024. https://doi.org/10.1109/npspe62515.2024.00032.

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Barochia, Dev, Hasan Nikkhah, and Burcu Beykal. "Design and Optimization of a Multipurpose Zero Liquid Discharge Desalination Plant." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.142929.

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We study the design and optimization of a multicomponent seawater desalination process with zero liquid discharge (ZLD). The designed process is highly integrated with multiple sub processing units that include humidification-dehumidification, Lithium Bromide absorption chiller, multi-effect evaporators, mechanical vapor compression, and crystallization. Aspen Plus software with E-NRTL and SOLIDS thermodynamic packages are used for modeling and simulation of desalination and crystallization units, respectively. In addition to this, we use data-driven optimization to find the best operating con
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Masoud, Mahmoud. "An Adaptive Tabu Search Optimisation Algorithm for Solving E-Scooters Battery Swapping Problem." In The 2nd International Conference on Civil Infrastructure and Construction. Qatar University Press, 2023. http://dx.doi.org/10.29117/cic.2023.0133.

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E-scooters have become a popular mode of transportation for first and last-mile excursions in recent years. Their usage as a short-distance public transit system is commonly regarded as an efficient solution to minimise carbon emissions while also being handy for individuals on the go. The need for charging, however, has become problematic as a result of the popularity of e-scooters because it effectively renders the scooter that is presently being charged inoperable. A relatively new method being used involves swapping batteries in e-scooters rather than transferring full scooters to be recha
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Kanagaraj, G., S. G. Ponnambalam, and C. K. Loo. "Charged system search algorithm for robotic drill path optimization." In 2015 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2015. http://dx.doi.org/10.1109/icamechs.2015.7287141.

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Gao, Hongyuan, Guojian Zang, and Yuwei Ma. "Wideband DOA estimation based on quantum charged system search algorithm." In 2020 15th IEEE International Conference on Signal Processing (ICSP). IEEE, 2020. http://dx.doi.org/10.1109/icsp48669.2020.9320943.

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Tavakolan, Mehdi, and Mohammad Ali Motie Share. "Applying Magnetic Charged System Search Algorithm to Construction Project Planning Problems." In ASCE International Workshop on Computing in Civil Engineering. American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413029.092.

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Huang, Chao-Ming, Yann-Chang Huang, and Kun-Yuan Huang. "Capacity optimization of a stand-alone microgrid system using charged system search algorithm." In 2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES). IEEE, 2018. http://dx.doi.org/10.1109/ieses.2018.8349900.

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Reports on the topic "Adaptive Charged System Search Algorithm"

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Asari, Vijayan, Paheding Sidike, Binu Nair, Saibabu Arigela, Varun Santhaseelan, and Chen Cui. PR-433-133700-R01 Pipeline Right-of-Way Automated Threat Detection by Advanced Image Analysis. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0010891.

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A novel algorithmic framework for the robust detection and classification of machinery threats and other potentially harmful objects intruding onto a pipeline right-of-way (ROW) is designed from three perspectives: visibility improvement, context-based segmentation, and object recognition/classification. In the first part of the framework, an adaptive image enhancement algorithm is utilized to improve the visibility of aerial imagery to aid in threat detection. In this technique, a nonlinear transfer function is developed to enhance the processing of aerial imagery with extremely non-uniform l
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