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

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

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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3

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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Benadli, Ridha, Marwen Bjaoui, Brahim Khiari, and Anis Sellami. "Sliding Mode Control of Hybrid Renewable Energy System Operating in Grid Connected and Stand-Alone Mode." Power Electronics and Drives 6, no. 1 (2021): 144–66. http://dx.doi.org/10.2478/pead-2021-0009.

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Abstract This paper studies innovative application of sliding mode control (SMC) for a Hybrid Renewable Energy System (HRES) in grid-connected and autonomous modes of operation. The considered HRES includes a photovoltaic (PV), wind turbine (WT) based on a Permanent Magnet Synchronous Generator (PMSG). The PV generator is coupled to the common DC bus via a DC/DC converter. The latter is controlled by an MPPT algorithm based on the Adaptive Perturbation and Observation Algorithm Method (APOAM) to search the optimum working of this source. A SMC is utilized to manage the PV voltage to achieve th

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Chen, Li, Gang Duan, Jie Cao, and Jinhua Wang. "Two-Stage Optimization on Vessel Routing and Hybrid Energy Output for Marine Debris Collection." Sustainability 17, no. 8 (2025): 3425. https://doi.org/10.3390/su17083425.

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The harm of marine debris (MD) to the environment and human beings has been paid more and more attention. At present, the most effective way to collect macro-MD floating on the sea is to send vessels. We employ vessels equipped with a hybrid energy system (HES) composed of photovoltaic (PV), battery and diesel to carry out MD cleanup. We propose a two-stage optimization approach for vessel routing and energy management strategy. In the first stage, the vessel routing problem with a drifting time window is modeled to minimize the vessel travel time considering continuous speed. The drifting tim

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Talatahari, Siamak, Mahdi Azizi, and Mehdi Toloo. "Fuzzy Adaptive Charged System Search for global optimization." Applied Soft Computing 109 (September 2021): 107518. http://dx.doi.org/10.1016/j.asoc.2021.107518.

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Tabrizian, Zahra, Gholamreza Ghodrati Amiri, and Morteza Hossein Ali Beigy. "Charged System Search Algorithm Utilized for Structural Damage Detection." Shock and Vibration 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/194753.

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This paper presents damage detection and assessment methodology based on the changes in dynamic parameters of a structural system. The method is applied at an element level using a finite element model. According to continuum damage mechanics, damage is represented by a reduction factor of the element stiffness. A recently developed metaheuristic optimization algorithm known as the charged system search (CSS) is utilized for locating and quantifying the damaged areas of the structure. In order to demonstrate the abilities of this method, three examples are included comprising of a 10-elements

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Chao, Chun-Tang, Ming-Tang Liu, Chi-Jo Wang, and Juing-Shian Chiou. "A fuzzy adaptive controller for cuckoo search algorithm in active suspension system." Journal of Low Frequency Noise, Vibration and Active Control 39, no. 3 (2018): 761–71. http://dx.doi.org/10.1177/1461348418811473.

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This paper presents a fuzzy adaptive cuckoo search algorithm to improve the cuckoo search algorithm, which may easily fall into a local optimum when handling multiobjective optimization problems. The Fuzzy–Proportional-Integral-Derivative (PID) controller design for an active micro-suspension system has been incorporated into the proposed fuzzy adaptive cuckoo search algorithm to improve both driving comfort and road handling. In the past research, a genetic algorithm was often applied in Fuzzy–PID controller design. However, when the dimension is high and there are numerous local optima, the

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Shayegan, Davood Sedaghat, Alireza Lork, and Seyed Amir Hossein Hashemi. "A New Hybrid Algorithm for Cost Optimization of Waffle Slab." Slovak Journal of Civil Engineering 28, no. 3 (2020): 40–46. http://dx.doi.org/10.2478/sjce-2020-0022.

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AbstractIn this paper, we have developed an efficient hybrid meta-heuristic algorithm for structural cost optimization of a waffle slab and have also solved the relevant optimization problems. The cost of the waffle slab is considered to be the objective function, and the design is based on the American Concrete Institute’s ACI 318-08 standard. This algorithm utilizes the recently developed mouth-brooding fish (MBF) algorithm as the main engine and uses the favorable properties of the colliding bodies optimization (CBO) algorithm. The performance of this algorithm is compared with MBF, CBO, ha

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Palamar, Andriy, Mariia Stadnyk, and Mariia Palamar. "Adaptive pid regulation method of uninterruptible power supply battery charge current based on artificial neural network." Scientific journal of the Ternopil national technical university 107, no. 3 (2022): 5–13. http://dx.doi.org/10.33108/visnyk_tntu2022.03.005.

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The paper considers the issue of improving the methods of uninterruptible power supply intelligent control based on adaptive algorithms with the use of artificial neural network technologies. An adaptive PID regulation method of the UPS battery charge current is proposed. A neural network based control scheme with adjustment of PID regulation coefficients has been developed. The simulation modeling was used to search for the artificial neural network topology, which would be the most effective according to the criteria of the battery charge current regulation accuracy. The use of artificial ne

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Talatahari, S., R. Sheikholeslami, M. Shadfaran, and M. Pourbaba. "Optimum Design of Gravity Retaining Walls Using Charged System Search Algorithm." Mathematical Problems in Engineering 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/301628.

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This study focuses on the optimum design retaining walls, as one of the familiar types of the retaining walls which may be constructed of stone masonry, unreinforced concrete, or reinforced concrete. The material cost is one of the major factors in the construction of gravity retaining walls therefore, minimizing the weight or volume of these systems can reduce the cost. To obtain an optimal seismic design of such structures, this paper proposes a method based on a novel meta-heuristic algorithm. The algorithm is inspired by the Coulomb's and Gauss’s laws of electrostatics in physics, and it i

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Özyön, Serdar, Hasan Temurtaş, Burhanettin Durmuş, and Gültekin Kuvat. "Charged system search algorithm for emission constrained economic power dispatch problem." Energy 46, no. 1 (2012): 420–30. http://dx.doi.org/10.1016/j.energy.2012.08.008.

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Kaveh, Ali, and Siamak Talatahari. "Optimal design of skeletal structures via the charged system search algorithm." Structural and Multidisciplinary Optimization 41, no. 6 (2009): 893–911. http://dx.doi.org/10.1007/s00158-009-0462-5.

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Kaveh, A., Mohammad A. Motie Share, and M. Moslehi. "Magnetic charged system search: a new meta-heuristic algorithm for optimization." Acta Mechanica 224, no. 1 (2012): 85–107. http://dx.doi.org/10.1007/s00707-012-0745-6.

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Precup, Radu-Emil, Emil M. Petriu, Mircea-Bogdan Radae, Emil-Ioan Voisan, and Florin Dragan. "Adaptive Charged System Search Approach to Path Planning for Multiple Mobile Robots." IFAC-PapersOnLine 48, no. 10 (2015): 294–99. http://dx.doi.org/10.1016/j.ifacol.2015.08.147.

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Boukari, Karima. "Adaptive Dijkstra’s Search Algorithm for MIMO detection." International journal of electrical and computer engineering systems 13, no. 13 (2022): 9–17. http://dx.doi.org/10.32985/ijeces.13.1.2.

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Employing Maximum Likelihood (ML) algorithm for signal detection in a large-scale Multiple-Input- Multiple-Output (MIMO) system with high modulation order is a computationally expensive approach. In this paper an adaptive best first search detection algorithm is proposed. The proposed Adaptive Dijkstra’s Search (ADS) algorithm exploits the resources available in the search procedure to reduce the required number of nodes to be visited in the tree. A tunable parameter is used to control the number of the best possible candidate nodes required. Unlike the conventional DS, the ADS algorithm resul

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Prasad, Sachidananda, and D. M. Vinod Kumar. "Hybrid fuzzy charged system search algorithm based state estimation in distribution networks." Engineering Science and Technology, an International Journal 20, no. 3 (2017): 922–33. http://dx.doi.org/10.1016/j.jestch.2017.04.002.

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Gu, Chonglin, Ansong Feng, Guozhan Wang, and Xiqing Liu. "Robot Path Planning of Improved Adaptive Ant Colony System Algorithm Based on Dijkstra." Journal of Robotics 2022 (December 15, 2022): 1–11. http://dx.doi.org/10.1155/2022/9229155.

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Path planning is one of the key technologies of robot. Aiming at the problems of slow convergence speed and inefficient search of traditional Ant Colony System Algorithm, an adaptive Ant Colony System Algorithm based on Dijkstra is proposed in the paper. Firstly, Dijkstra algorithm is applied to searching the initial path in the grid environment, constructing the initial path, optimizing the initial pheromone in the region, therefore, the Ant Colony System Algorithm avoid falling into blind search in the initial stage; In the transition probability, the disguised angle probability function and

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Asadieh, Behzad, and Abbas Afshar. "Optimization of Water-Supply and Hydropower Reservoir Operation Using the Charged System Search Algorithm." Hydrology 6, no. 1 (2019): 5. http://dx.doi.org/10.3390/hydrology6010005.

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The Charged System Search (CSS) metaheuristic algorithm is introduced to the field of water resources management and applied to derive water-supply and hydro-power operating policies for a large-scale real-world reservoir system. The optimum algorithm parameters for each reservoir operation problems are also obtained via a tuning procedure. The CSS algorithm is a metaheuristic optimization method inspired by the governing laws of electrostatics in physics and motion from the Newtonian mechanics. In this study, the CSS algorithm’s performance has been tested with benchmark problems, consisting

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Li, Hao, Hongbin Jin, Hanzhong Wang, and Yanyan Ma. "Improved Adaptive Holonic Particle Swarm Optimization." Mathematical Problems in Engineering 2019 (December 12, 2019): 1–22. http://dx.doi.org/10.1155/2019/8164083.

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For the first time , the Holonic Particle Swarm Optimization (HPSO ) algorithm applies multiagent theory about the improvement in the PSO algorithm and achieved good results. In order to further improve the performance of the algorithm, this paper proposes an improved Adaptive Holonic Particle Swarm Optimization (AHPSO) algorithm. Firstly, a brief review of the HPSO algorithm is carried out, and the HPSO algorithm can be further studied in three aspects: grouping strategy, iteration number setting, and state switching discrimination. The HPSO algorithm uses an approximately uniform grouping st

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Abdi, Amin, Yousef Hassanzadeh, Siamak Talatahari, Ahmad Fakheri-Fard, and Rasoul Mirabbasi. "Regional drought frequency analysis using L-moments and adjusted charged system search." Journal of Hydroinformatics 19, no. 3 (2016): 426–42. http://dx.doi.org/10.2166/hydro.2016.228.

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The parameter estimation of statistical distributions is important for regional frequency analysis (RFA). The accuracy of different parts of RFA such as estimating the regional quantiles of the selected statistical distribution, determining the heterogeneity measure, and choosing the best distribution based on the Monte Carlo simulation, may be influenced by using the different values of regional parameters. To fulfill this aim, in the present study, a new model is developed for regional drought frequency analysis. This model utilizes the L-moments approach and the adjusted charged system sear

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Liu, Ji Hong, Hao Jiang, and Qi Xie. "Adaptive Collaborative Optimization Strategy Based on Genetic Algorithm." Advanced Materials Research 311-313 (August 2011): 32–36. http://dx.doi.org/10.4028/www.scientific.net/amr.311-313.32.

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The genetic algorithm and the adaptive mechanism are adopted to tackle the inefficiency of optimization and the convergence difficulty of collaborative optimization (CO). Based on the further analysis of collaborative optimization process, the constraint conditions are converged into part of the optimization function. The system optimization model of CO has been reconstructed according to the adaptive penalty function which is based on the information of different disciplines and the transformation of system-level constraints. Therefore, the global and local search capabilities of optimization

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Li, Junchao, Yuan Tian, and Chen Zhang. "Intelligent Online Monitoring Technology of Green Power Transmission and Transformation Equipment Based on Internet of Things." Mobile Information Systems 2022 (June 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/3679898.

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To address the problems of insufficient real-time monitoring data, insufficient accuracy, and low reliability of current power grid monitoring systems, we offer intelligent online monitoring technology research of green energy transmission and conversion devices based on Internet technology. The sensor tag is integrated with various electrical equipment status monitoring sensors, so that the electrical equipment status acquisition terminal has the ability of recognition and perception. Firstly, the propagation characteristics of electromagnetic wave in substation are analyzed, and the propagat

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Shieh, Ming-Yuan, Juing-Shian Chiou, and Ming-Tang Liu. "Design of Immune-Algorithm-Based Adaptive Fuzzy Controllers for Active Suspension Systems." Advances in Mechanical Engineering 6 (January 1, 2014): 916257. http://dx.doi.org/10.1155/2014/916257.

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The aim of this paper is to integrate the artificial immune systems and adaptive fuzzy control for the automobile suspension system, which is regarded as a multiobjective optimization problem. Moreover, the fuzzy control rules and membership controls are then introduced for identification and memorization. It leads fast convergence in the search process. Afterwards, by using the diversity of the antibody group, trapping into local optimum can be avoided, and the system possesses a global search capacity and a faster local search for finding a global optimal solution. Experimental results show

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Nouhi, B., S. Talatahari, H. Kheiri, and C. Cattani. "Chaotic Charged System Search with a Feasible-Based Method for Constraint Optimization Problems." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/391765.

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Recently developed chaotic charged system search was combined to feasible-based method to solve constraint engineering optimization problems. Using chaotic maps into the CSS increases the global search mobility for a better global optimization. In the present method, an improved feasible-based method is utilized to handle the constraints. Some constraint design examples are tested using the new chaotic-based methods, and the results are compared to recognize the most efficient and powerful algorithm.

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Bai, Le Qiang, and Xi Yang. "An Parallel Anti-Collision Algorithm Based on Adaptive Multi-Tree Search." Applied Mechanics and Materials 556-562 (May 2014): 3707–10. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3707.

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In order to improve the unstable system throughput and reduce the "misjudgment" issues, this paper proposes a kind of parallel multi-tree search anti-collision algorithm. The algorithm embeds pseudo collision time slot with OVSF spreading code in RFID systems for identifying tags. As there are more than one code channels in a pseudo collision time slot, the slot can identify tags concurrently, reducing the accumulated collision. Theoretic analysis proves that the system throughput is improved with the increasing of code length. Simulation results show that the new algorithm has more stable and

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D’Ambrosio, Andrea, Dario Spiller, and Fabio Curti. "Improved magnetic charged system search optimization algorithm with application to satellite formation flying." Engineering Applications of Artificial Intelligence 89 (March 2020): 103473. http://dx.doi.org/10.1016/j.engappai.2020.103473.

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Uz, Mehmet Eren, Pezhman Sharafi, Mahya Askarian, Weiqing Fu, and Chunmei Zhang. "Automated layout design of multi-span reinforced concrete beams using charged system search algorithm." Engineering Computations 35, no. 3 (2018): 1402–13. http://dx.doi.org/10.1108/ec-05-2017-0188.

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Purpose The preliminary layout design of structures impacts upon the entire design process and, consequently, the total cost. The purpose of this paper is to select the most economical layouts that satisfy structural and architectural requirements, while considering the reciprocal effects of cost factors and layout variables at the preliminary stages of design. Design/methodology/approach This paper presents an automated method for cost optimization of geometric layout design of multi-span reinforced concrete (RC) beams subjected to dynamic loading by using the charged system search (CSS) algo

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Yadav, Vijay, and Sarita Singh Bhadauria. "Digital design and optimization of higher order adaptive system using Continuous genetic algorithm." International Journal of Engineering & Technology 1, no. 4 (2012): 290. http://dx.doi.org/10.14419/ijet.v1i4.186.

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An algorithm for design and optimization of higher order adaptive system are presented in this paper. In this work, the algorithm applied on the continuous search space parameter rather than discrete search space parameter. A new continuous genetic operator such that Rank based selection, Normal crossover and mutations are used to improve the rate of convergence and solution quality has been proposed.

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Ocak, Ayla, Sinan Melih Nigdeli, Gebrail Bekdaş, Sanghun Kim, and Zong Woo Geem. "Optimization of Seismic Base Isolation System Using Adaptive Harmony Search Algorithm." Sustainability 14, no. 12 (2022): 7456. http://dx.doi.org/10.3390/su14127456.

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In this study, a seismic isolator placed on the base of a structure was optimized under various earthquake records using an adaptive harmony search algorithm (AHS). As known, the base-isolation systems with very low stiffness provide a rigid response of superstructure, so it was assumed that the structure is rigid and the base-isolated structure can be considered as a single-degree of freedom structure. By using this assumption, an optimization method that is independent of structural properties but specific to the chosen earthquake excitation set is proposed. By taking three different damping

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Talatahari, S., A. Hosseini, S. R. Mirghaderi, and F. Rezazadeh. "Optimum Performance-Based Seismic Design Using a Hybrid Optimization Algorithm." Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/693128.

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A hybrid optimization method is presented to optimum seismic design of steel frames considering four performance levels. These performance levels are considered to determine the optimum design of structures to reduce the structural cost. A pushover analysis of steel building frameworks subject to equivalent-static earthquake loading is utilized. The algorithm is based on the concepts of the charged system search in which each agent is affected by local and global best positions stored in the charged memory considering the governing laws of electrical physics. Comparison of the results of the h

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Kotiang, Stephen, and Jae Ho Choi. "Chaotic Genetic Algorithm for Wavefront Correction in Adaptive Optics." Applied Mechanics and Materials 666 (October 2014): 293–97. http://dx.doi.org/10.4028/www.scientific.net/amm.666.293.

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Chaotic genetic algorithm (CGA) is presented as an optimization algorithm for sensorless adaptive optics system to compensate atmospheric wave aberration. Chaos search strategy is incorporated into standard genetic algorithm by the logistic function that possess convergent, bifurcating, and chaotic characteristics during evolution to control the convergence of genetic algorithm. A real number encoding method is adopted in the search process and CGA is used to control a 61-actuator deformable membrane mirror (DM).The algorithm uses light intensity detected on the focal plane as the objective fu

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Humaidi, Amjad J., Ibraheem Kasim Ibraheem, and Ahmed R. Ajel. "A Novel Adaptive LMS Algorithm with Genetic Search Capabilities for System Identification of Adaptive FIR and IIR Filters." Information 10, no. 5 (2019): 176. http://dx.doi.org/10.3390/info10050176.

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In this paper we introduce a novel adaptation algorithm for adaptive filtering of FIR and IIR digital filters within the context of system identification. The standard LMS algorithm is hybridized with GA (Genetic Algorithm) to obtain a new integrated learning algorithm, namely, LMS-GA. The main aim of the proposed learning tool is to evade local minima, a common problem in standard LMS algorithm and its variants and approaching the global minimum by calculating the optimum parameters of the weights vector when just estimated data are accessible. In the proposed LMS-GA technique, first, it work

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Fuketa, Masao, El-Sayed Atlam, Elmarhomy Ghada, and Jun-ichi Aoe. "A Fast Dynamic Full-Text Search Method Using Efficient Block Management Structure." Journal of Advanced Computational Intelligence and Intelligent Informatics 8, no. 6 (2004): 573–81. http://dx.doi.org/10.20965/jaciii.2004.p0573.

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Full-text search is widely used for various services of the Internet. A more high-speed and a more efficient full-text search technology are necessary because of the amount of increasing handled document and corresponding document data every day. This paper proposes an adaptive block management algorithm that is efficient for dynamic data management method. This algorithm is applied for inverted file searching. The new method is speeding up character string retrieval by first making the full-text search of Uni-gram and by the full-text search of Bi-gram. This paper proposes a method of enhanci

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Ali, I., M. Muzammil, A. Basit, and I. Haq. "Modified Adaptive Predict Hexagon Based Search Motion Estimation Algorithm." Nucleus 55, no. 4 (2018): 164–70. https://doi.org/10.71330/thenucleus.2018.446.

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Motion Estimation (ME) is a very critical part of any video encoder and different fast ME algorithms are proposed to reduce the overhead of computational cost that was available in encoding system. This paper proposes a Modified Adaptive Predict Hexagon Based Search (MAPHS) algorithm to cope the computational requirements. The proposed algorithm predicts the direction of motion by using adaptive rood shaped predictor and then Hexagonal based Search is applied to refine the search process. The adaptive predictor changes own size predetermined motion vector for each macro block. The ME process i

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Ernst, Gidon, Sean Sedwards, Zhenya Zhang, and Ichiro Hasuo. "Falsification of Hybrid Systems Using Adaptive Probabilistic Search." ACM Transactions on Modeling and Computer Simulation 31, no. 3 (2021): 1–22. http://dx.doi.org/10.1145/3459605.

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We present and analyse an algorithm that quickly finds falsifying inputs for hybrid systems. Our method is based on a probabilistically directed tree search, whose distribution adapts to consider an increasingly fine-grained discretization of the input space. In experiments with standard benchmarks, our algorithm shows comparable or better performance to existing techniques, yet it does not build an explicit model of a system. Instead, at each decision point within a single trial, it makes an uninformed probabilistic choice between simple strategies to extend the input signal by means of explo

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Fathianathan, Mervyn, A. Senthil Kumar, and A. Y. C. Nee. "An Adaptive Machining Fixture Design System for Automatically Dealing With Design Changes." Journal of Computing and Information Science in Engineering 7, no. 3 (2007): 259–68. http://dx.doi.org/10.1115/1.2752816.

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Integrated product and process design involves a dynamic environment where various design changes are made when the requirements of the different domains are not sufficiently met. Dealing with changes is a tedious and cumbersome process. To deal with design changes automatically, this paper presents the development of an adaptive fixture design system based on an evolutionary search algorithm. The system senses a change made to the workpiece model and automatically deals with the change. Conducted experiments reveal that the evolutionary search algorithm is efficient and effective in dealing w

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Kolekar, Sucheta V., Radhika M. Pai, and Manohara Pai M M. "Prediction of Learner’s Profile based on Learning Styles in Adaptive E-learning System." International Journal of Emerging Technologies in Learning (iJET) 12, no. 06 (2017): 31. http://dx.doi.org/10.3991/ijet.v12i06.6579.

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The major requirement of present e-learning system is to provide a personalized interface with adaptiveness. This is possible to provide by analyzing the learning behaviors of the learners in the e-learning portal through Web Usage Mining (WUM). In this paper, a method is proposed where the learning behavior of the learner is captured using web logs and the learning styles are categorized according to Felder-Silverman Learning Style Model (FSLSM). Each category of FSLSM learner is provided with the respective content and interface that is required for the learner to learn. Fuzzy C Means (FCM)

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Nancy, Mubina, and Elizabeth Amudhini Stephen. "Modelling and Analysis of the Cone Coupling Problem Using Optimization." Mathematical Modelling of Engineering Problems 9, no. 5 (2022): 1385–92. http://dx.doi.org/10.18280/mmep.090529.

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A coupling is a mechanism that transmits operative power between two shafts that are revolving at different speeds. A coupling connects two shafts at their ends and can slip or fail depending on the torque limit. It is an essential component of any power transmission system and may survive for a very long time if properly designed and maintained. This study's current research, a newly developed optimization algorithms are used to minimize the volume of cone coupling. The current study presented here compares modern metaheuristic methods for optimizing the design of the cone coupling problem. T

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Talatahari, S., and R. Sheikholeslami. "Optimum design of gravity and reinforced retaining walls using enhanced charged system search algorithm." KSCE Journal of Civil Engineering 18, no. 5 (2014): 1464–69. http://dx.doi.org/10.1007/s12205-014-0406-5.

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Na, Xing, Di Haotian, Yin Wenjie, Han Yajun, and Zhou Yang. "Agent path planning based on adaptive polymorphic ant colony optimization." Journal of Applied Artificial Intelligence 1, no. 3 (2024): 16–29. http://dx.doi.org/10.59782/aai.v1i3.314.

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In the path planning of intelligent agents, ant colony algorithm is a popular path solving strategy and has been widely used. However, the traditional ant colony algorithm has problems of local optimum and redundant turning points. The adaptive polymorphic ant colony algorithm greatly improves the search and convergence speed through multi-group division and cooperation mechanism, which helps to enhance the global search ability and avoid falling into the local optimal solution. This paper proposes an improved pheromone update strategy and path selection record table construction to further im

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Si, Wei-Jian, Qiang Liu, and Zhi-An Deng. "Adaptive Reconstruction Algorithm Based on Compressed Sensing Broadband Receiver." Wireless Communications and Mobile Computing 2021 (January 15, 2021): 1–12. http://dx.doi.org/10.1155/2021/6673235.

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Existing greedy reconstruction algorithms require signal sparsity, and the remaining sparsity adaptive algorithms can be reconstructed but cannot achieve accurate sparsity estimation. To address this problem, a blind sparsity reconstruction algorithm is proposed in this paper, which is applied to compressed sensing radar receiver system. The proposed algorithm can realize the estimation of signal sparsity and channel position estimation, which mainly consists of two parts. The first part is to use fast search based on dichotomy search, which is based on the high probability reconstruction of g

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Rojas-Galván, Ricardo, José R. García-Martínez, Edson E. Cruz-Miguel, Omar A. Barra-Vázquez, Luis F. Olmedo-García, and Juvenal Rodríguez-Reséndiz. "Hunting Search Algorithm-Based Adaptive Fuzzy Tracking Controller for an Aero-Pendulum." Technologies 12, no. 5 (2024): 63. http://dx.doi.org/10.3390/technologies12050063.

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The aero-pendulum is a non-linear system used broadly to develop and test new controller strategies. This paper presents a new methodology for an adaptive PID fuzzy-based tracking controller using a Hunting Search (HuS) algorithm. The HuS algorithm computes the parameters of the membership functions of the fuzzification stage. As a novelty, the algorithm guarantees the overlap of the membership functions to ensure that all the functions are interconnected, generating new hunters to search for better solutions in the overlapping area. For the defuzzification stage, the HuS algorithm sets the si

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