Acceder

Bibliografías temáticas / Response Optimization algorithms / Artículos de revistas

Siga este enlace para ver otros tipos de publicaciones sobre el tema: Response Optimization algorithms.

Artículos de revistas sobre el tema "Response Optimization algorithms"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 2 de febrero de 2022

Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros

Elija tipo de fuente:

Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "Response Optimization algorithms".

Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.

También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.

Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.

1

Aungkulanon, Pasura. "A Comparative Study of Global-Best Harmony Search and Bat Algorithms on Optimization Problems." Applied Mechanics and Materials 464 (November 2013): 352–57. http://dx.doi.org/10.4028/www.scientific.net/amm.464.352.

Texto completo

Resumen

The engineering optimization problems are large and complex. Effective methods for solving these problems using a finite sequence of instructions can be categorized into optimization and meta-heuristics algorithms. Meta-heuristics techniques have been proved to solve various real world problems. In this study, a comparison of two meta-heuristic techniques, namely, Global-Best Harmony Search algorithm (GHSA) and Bat algorithm (BATA), for solving constrained optimization problems was carried out. GHSA and BATA are optimization algorithms inspired by the structure of harmony improvisation search

Los estilos APA, Harvard, Vancouver, ISO, etc.

2

Yeniay, Özgür. "Comparative Study of Algorithms for Response Surface Optimization." Mathematical and Computational Applications 19, no. 1 (2014): 93–104. http://dx.doi.org/10.3390/mca19010093.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

3

Shaaban, Amr Ahmed, and Omar Mahmoud Shehata. "Combining Response Surface Method and Metaheuristic Algorithms for Optimizing SPIF Process." International Journal of Manufacturing, Materials, and Mechanical Engineering 11, no. 4 (2021): 1–25. http://dx.doi.org/10.4018/ijmmme.2021100101.

Texto completo

Resumen

Recently, studies have focused on optimization as a method to reach the finest conditions for metal forming processes. This study tests various optimization techniques to determine the optimum conditions for single point incremental forming (SPIF). SPIF is a die-less forming process that depends on moving a tool along a path designed for a specific feature. As it involves various parameters, optimization based on experimental studies would be costly, hence a finite element model (FE-model) for the SPIF process is developed and validated through experimental results. In the second phase, statis

Los estilos APA, Harvard, Vancouver, ISO, etc.

4

Meng, Fanlin, Kui Weng, Balsam Shallal, Xiangping Chen, and Monjur Mourshed. "Forecasting Algorithms and Optimization Strategies for Building Energy Management & Demand Response." Proceedings 2, no. 15 (2018): 1133. http://dx.doi.org/10.3390/proceedings2151133.

Texto completo

Resumen

In this paper, we look at the key forecasting algorithms and optimization strategies for the building energy management and demand response management. By conducting a combined and critical review of forecast learning algorithms and optimization models/algorithms, current research gaps and future research directions and potential technical routes are identified. To be more specific, ensemble/hybrid machine learning algorithms and deep machine learning algorithms are promising in solving challenging energy forecasting problems while large-scale and distributed optimization algorithms are the fu

Los estilos APA, Harvard, Vancouver, ISO, etc.

5

Chapman, Archie C., Alex Rogers, Nicholas R. Jennings, and David S. Leslie. "A unifying framework for iterative approximate best-response algorithms for distributed constraint optimization problems." Knowledge Engineering Review 26, no. 4 (2011): 411–44. http://dx.doi.org/10.1017/s0269888911000178.

Texto completo

Resumen

AbstractDistributed constraint optimization problems (DCOPs) are important in many areas of computer science and optimization. In a DCOP, each variable is controlled by one of many autonomous agents, who together have the joint goal of maximizing a global objective function. A wide variety of techniques have been explored to solve such problems, and here we focus on one of the main families, namely iterative approximate best-response algorithms used as local search algorithms for DCOPs. We define these algorithms as those in which, at each iteration, agents communicate only the states of the v

Los estilos APA, Harvard, Vancouver, ISO, etc.

6

Saha, Suman Kumar, R. Kar, D. Mandal, and S. P. Ghoshal. "A Novel Firefly Algorithm for Optimal Linear Phase FIR Filter Design." International Journal of Swarm Intelligence Research 4, no. 2 (2013): 29–48. http://dx.doi.org/10.4018/jsir.2013040102.

Texto completo

Resumen

Optimal digital filter design in digital signal processing has thrown a growing influence on communication systems. FIR filter design involves multi-parameter optimization, on which the existing optimization algorithms do not work efficiently. For which different optimization techniques can be utilized to determine the impulse response coefficient of a filter and try to meet the ideal frequency response characteristics. In this paper, FIR low pass, high pass, band pass and band stop filters have been designed using a new meta-heuristic search method, called firefly algorithm. Firefly Algorithm

Los estilos APA, Harvard, Vancouver, ISO, etc.

7

Majumder, Arindam. "Optimization of Modern Manufacturing Processes Using Three Multi-Objective Evolutionary Algorithms." International Journal of Swarm Intelligence Research 12, no. 3 (2021): 96–124. http://dx.doi.org/10.4018/ijsir.2021070105.

Texto completo

Resumen

The optimization in manufacturing processes refers to the investigation of multiple responses simultaneously. Therefore, it becomes very necessary to introduce a technique that can solve the multiple response optimization problem efficiently. In this study, an attempt has been taken to find the application of three newly introduced multi-objective evolutionary algorithms, namely multi-objective dragonfly algorithm (MODA), multi-objective particle swarm optimization algorithm (MOPSO), and multi-objective teaching-learning-based optimization (MOTLBO), in the modern manufacturing processes. For t

Los estilos APA, Harvard, Vancouver, ISO, etc.

8

Sahu, Neelesh Kumar, and Atul B. Andhare. "Multiobjective optimization for improving machinability of Ti-6Al-4V using RSM and advanced algorithms." Journal of Computational Design and Engineering 6, no. 1 (2018): 1–12. http://dx.doi.org/10.1016/j.jcde.2018.04.004.

Texto completo

Resumen

Abstract This paper explores use of Teaching Learning Based Optimization (TLBO), ‘JAYA’ (Sanskrit word means Victory) and Genetic Algorithm (GA) for the combined minimization of roughness of machined surface and forces generated in cutting in turning of Ti-6Al-4V. Experimentation was carried out with Response Surface Methodology (RSM) and the Central Composite Design (CCD). Speed of cutting (m/min), feed rate (mm/min) and depth of cut (mm) were the design variables for optimization. Two responses (roughness of machined surface and force of cutting) were independently minimized. RSM was useful

Los estilos APA, Harvard, Vancouver, ISO, etc.

9

Tahmasebi, Mehrdad, Jagadeesh Pasupuleti, Fatemeh Mohamadian, et al. "Optimal Operation of Stand-Alone Microgrid Considering Emission Issues and Demand Response Program Using Whale Optimization Algorithm." Sustainability 13, no. 14 (2021): 7710. http://dx.doi.org/10.3390/su13147710.

Texto completo

Resumen

Microgrids are new technologies for integrating renewable energies into power systems. Optimal operation of renewable energy sources in standalone micro-grids is an intensive task due to the continuous variation of their output powers and intermittant nature. This work addresses the optimum operation of an independent microgrid considering the demand response program (DRP). An energy management model with two different scenarios has been proposed to minimize the costs of operation and emissions. Interruptible/curtailable loads are considered in DRPs. Besides, due to the growing concern of the

Los estilos APA, Harvard, Vancouver, ISO, etc.

10

Kapgate, Deepak. "Predictive Data Center Selection Scheme for Response Time Optimization in Cloud Computing." International Journal of Cloud Applications and Computing 11, no. 1 (2021): 93–111. http://dx.doi.org/10.4018/ijcac.2021010105.

Texto completo

Resumen

The quality of cloud computing services is evaluated based on various performance metrics out of which response time (RT) is most important. Nearly all cloud users demand its application's RT as minimum as possible, so to minimize overall system RT, the authors have proposed request response time prediction-based data center (DC) selection algorithm in this work. Proposed DC selection algorithm uses results of optimization function for DC selection formulated based on M/M/m queuing theory, as present cloud scenario roughly obeys M/M/m queuing model. In cloud environment, DC selection algorithm

Los estilos APA, Harvard, Vancouver, ISO, etc.

11

Lee, Dong-Hee, Bo-Ra Kim, Jin-Kyung Yang, and Seon-Hye Oh. "Dual Response Surface Optimization using Multiple Objective Genetic Algorithms." Journal of the Korean Institute of Industrial Engineers 43, no. 3 (2017): 164–75. http://dx.doi.org/10.7232/jkiie.2017.43.3.164.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

12

Srivastava, Manu, Sachin Maheshwari, T. K. Kundra, and Sandeep Rathee. "An Integrated RSM-GA Based Approach for Multi Response Optimization of FDM Process Parameters for Pyramidal ABS Primitives." Journal for Manufacturing Science and Production 16, no. 3 (2016): 201–8. http://dx.doi.org/10.1515/jmsp-2016-0012.

Texto completo

Resumen

AbstractIn this research work, a statistical model is developed for predicting the optimal process parameters of Fused Deposition Modelling (FDM) process for layout optimization. Multi response optimization of process parameters was achieved using Response Surface Methodology technique integrated with Genetic Algorithm. Response Surface Methodology (RSM) was utilized to design and conduct experiments. 86 experiments were conducted according to central composite design considering six process parameters namely raster width, raster angle, contour width, air gap, slice height and orientation to a

Los estilos APA, Harvard, Vancouver, ISO, etc.

13

Zhou, Sheng Nan, and Jian Jun Wang. "An Integrated Approach to Correlated Multi-Response Optimization." Applied Mechanics and Materials 635-637 (September 2014): 1750–54. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1750.

Texto completo

Resumen

As the manufacturing problem grows more complexity, particularly in the situations where the correlation and goal conflict among multiple responses need to be considered simultaneously, conventional optimization algorithms may fail to find the global optimum. In this case, an alternative approach is proposed that using grey relational analysis (GRA) in conjunction with principal component analysis (PCA) to obtain the grey relational grade (GRG), and using BP neural network to construct a process model. Then, the optimal parameters setting can be obtained by using a hybrid approach combined the

Los estilos APA, Harvard, Vancouver, ISO, etc.

14

Rule, W. K. "A Response Surface for Structural Optimization." Journal of Offshore Mechanics and Arctic Engineering 119, no. 3 (1997): 196–202. http://dx.doi.org/10.1115/1.2829068.

Texto completo

Resumen

Structural optimization is computationally intensive. Typically, a finite element model must be solved repeatedly during the process. Accordingly, various approximation schemes have been developed to reduce the cost of solves or to eliminate solves entirely during portions of the optimization process. In this paper, a new type of approximation or interpolation function in the form of a global response surface is described. With this function, approximations can be made with a limited amount of calibrating data points. The response surface requires no matrix inversions for coefficient evaluatio

Los estilos APA, Harvard, Vancouver, ISO, etc.

15

Ramadhan, Hardiyan Kesuma, and Sukma Wardhana. "Computer Networks Optimization using Load Balancing Algorithms on the Citrix ADC Virtual Server." Jurnal Online Informatika 6, no. 1 (2021): 103. http://dx.doi.org/10.15575/join.v6i1.672.

Texto completo

Resumen

In the digital era and the outbreak of the COVID-19 pandemic, all activities are online. If the number of users accessing the server exceeds IT infrastructure, server down occurs. A load balancer device is required to share the traffic request load. This study compares four algorithms on Citrix ADC VPX load balancer: round-robin, least connection, least response time and least packet using GNS3. The results of testing response time and throughput parameters show that the least connection algorithm is superior. There were a 33% reduction in response time and a 53% increase in throughput. In the

Los estilos APA, Harvard, Vancouver, ISO, etc.

16

Goyal, Shanky, Shashi Bhushan, Yogesh Kumar, et al. "An Optimized Framework for Energy-Resource Allocation in a Cloud Environment based on the Whale Optimization Algorithm." Sensors 21, no. 5 (2021): 1583. http://dx.doi.org/10.3390/s21051583.

Texto completo

Resumen

Cloud computing offers the services to access, manipulate and configure data online over the web. The cloud term refers to an internet network which is remotely available and accessible at anytime from anywhere. Cloud computing is undoubtedly an innovation as the investment in the real and physical infrastructure is much greater than the cloud technology investment. The present work addresses the issue of power consumption done by cloud infrastructure. As there is a need for algorithms and techniques that can reduce energy consumption and schedule resource for the effectiveness of servers. Loa

Los estilos APA, Harvard, Vancouver, ISO, etc.

17

Boutekkouk, Fateh. "Real Time Scheduling Optimization." Journal of Information Technology Research 12, no. 4 (2019): 132–52. http://dx.doi.org/10.4018/jitr.2019100107.

Texto completo

Resumen

This article deals with real time embedded multiprocessor systems scheduling optimization using conventional and quantum inspired genetic algorithms. Real time scheduling problems are known to be NP-hard. In order to resolve it, researchers have resorted to meta-heuristics instead of exact methods. Genetic algorithms seem to be a good choice to solve complex, non-linear, multi-objective and multi-modal problems. However, conventional genetic algorithms may consume much time to find good solutions. For this reason, to minimize the mean response time and the number of tasks missing their deadlin

Los estilos APA, Harvard, Vancouver, ISO, etc.

18

Deniz Ülker, Ezgi, Ali Haydar, and Kamil Dimililer. "Application of Hybrid Optimization Algorithm in the Synthesis of Linear Antenna Array." Mathematical Problems in Engineering 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/686730.

Texto completo

Resumen

The use of hybrid algorithms for solving real-world optimization problems has become popular since their solution quality can be made better than the algorithms that form them by combining their desirable features. The newly proposed hybrid method which is called Hybrid Differential, Particle, and Harmony (HDPH) algorithm is different from the other hybrid forms since it uses all features of merged algorithms in order to perform efficiently for a wide variety of problems. In the proposed algorithm the control parameters are randomized which makes its implementation easy and provides a fast res

Los estilos APA, Harvard, Vancouver, ISO, etc.

19

Liu, Zijian, Chunbo Luo, Peng Ren, Tingwei Wang, and Geyong Min. "Population based optimization via differential evolution and adaptive fractional gradient descent." Filomat 34, no. 15 (2020): 5173–85. http://dx.doi.org/10.2298/fil2015173l.

Texto completo

Resumen

We propose a differential evolution algorithm based on adaptive fractional gradient descent (DE-FGD) to address the defects of existing bio-inspired algorithms, such as slow convergence speed and local optimum. The crossover and selection processes of the differential evolution algorithm are discarded and the adaptive fractional gradients are adopted to enhance the global searching capability. For the benchmark functions, our proposed algorithm Specifically, our method has higher searching accuracy than several state of the art bio-inspired algorithms. Furthermore, we apply our method to speci

Los estilos APA, Harvard, Vancouver, ISO, etc.

20

Huang, Jingjing, Longxi Zheng, and Qing Mei. "Design and Optimization Method of a Two-Disk Rotor System." International Journal of Turbo & Jet-Engines 33, no. 1 (2016): 1–8. http://dx.doi.org/10.1515/tjj-2014-0033.

Texto completo

Resumen

AbstractAn integrated analytical method based on multidisciplinary optimization software Isight and general finite element software ANSYS was proposed in this paper. Firstly, a two-disk rotor system was established and the mode, humorous response and transient response at acceleration condition were analyzed with ANSYS. The dynamic characteristics of the two-disk rotor system were achieved. On this basis, the two-disk rotor model was integrated to the multidisciplinary design optimization software Isight. According to the design of experiment (DOE) and the dynamic characteristics, the optimiza

Los estilos APA, Harvard, Vancouver, ISO, etc.

21

Caldora Costa, M., M. Leite Pereira, Y. Marechal, J. Coulomb, and J. R. Cardoso. "Optimization of grounding grids by response surfaces and genetic algorithms." IEEE Transactions on Magnetics 39, no. 3 (2003): 1301–4. http://dx.doi.org/10.1109/tmag.2003.810199.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

22

Ahmed, Emad M., Rajarajeswari Rathinam, Suchitra Dayalan, et al. "A Comprehensive Analysis of Demand Response Pricing Strategies in a Smart Grid Environment Using Particle Swarm Optimization and the Strawberry Optimization Algorithm." Mathematics 9, no. 18 (2021): 2338. http://dx.doi.org/10.3390/math9182338.

Texto completo

Resumen

In the modern world, the systems getting smarter leads to a rapid increase in the usage of electricity, thereby increasing the load on the grids. The utilities are forced to meet the demand and are under stress during the peak hours due to the shortfall in power generation. The abovesaid deficit signifies the explicit need for a strategy that reduces the peak demand by rescheduling the load pattern, as well as reduces the stress on grids. Demand-side management (DSM) uses several algorithms for proper reallocation of loads, collectively known as demand response (DR). DR strategies effectively

Los estilos APA, Harvard, Vancouver, ISO, etc.

23

Govindan, Petchinathan. "Evolutionary algorithms based tuning of PID controller for an AVR system." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 3047. http://dx.doi.org/10.11591/ijece.v10i3.pp3047-3056.

Texto completo

Resumen

In this paper, an evolutionary algorithm based optimization algorithm is proposed with new objective function to design a PID controller for the automatic voltage regulator (AVR) system. The new objective function is proposed to improve the transient response of the AVR control system and to obtain the optimal values of controller gain. In this paper, particle swarm optimization (PSO) and cuckoo search (CS) algorithms are proposed to tune the parameters of a PID controller for the control of AVR system. Simulation results are capable and illustrate the effectiveness of the proposed method. Num

Los estilos APA, Harvard, Vancouver, ISO, etc.

24

Farina, Gabriele, Christian Kroer, and Tuomas Sandholm. "Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1917–25. http://dx.doi.org/10.1609/aaai.v33i01.33011917.

Texto completo

Resumen

Regret minimization is a powerful tool for solving large-scale extensive-form games. State-of-the-art methods rely on minimizing regret locally at each decision point. In this work we derive a new framework for regret minimization on sequential decision problems and extensive-form games with general compact convex sets at each decision point and general convex losses, as opposed to prior work which has been for simplex decision points and linear losses. We call our framework laminar regret decomposition. It generalizes the CFR algorithm to this more general setting. Furthermore, our framework

Los estilos APA, Harvard, Vancouver, ISO, etc.

25

Altinoz, O. Tolga. "Multiobjective PID controller design for active suspension system: scalarization approach." An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 8, no. 2 (2018): 183–94. http://dx.doi.org/10.11121/ijocta.01.2018.00399.

Texto completo

Resumen

In this study, the PID tuning method (controller design scheme) is proposed for a linear quarter model of active suspension system installed on the vehicles. The PID tuning scheme is considered as a multiobjective problem which is solved by converting this multiobjective problem into single objective problem with the aid of scalarization approaches. In the study, three different scalarization approaches are used and compared to each other. These approaches are called linear scalarization (weighted sum), epsilon-constraint and Benson’s methods. The objectives of multiobjective optimization are

Los estilos APA, Harvard, Vancouver, ISO, etc.

26

Barbosa, Eduardo Batista de Moraes, Edson Luiz França Senne, and Messias Borges Silva. "Improving the Performance of Metaheuristics: An Approach Combining Response Surface Methodology and Racing Algorithms." International Journal of Engineering Mathematics 2015 (September 16, 2015): 1–9. http://dx.doi.org/10.1155/2015/167031.

Texto completo

Resumen

The setup of heuristics and metaheuristics, that is, the fine-tuning of their parameters, exercises a great influence in both the solution process, and in the quality of results of optimization problems. The search for the best fit of these algorithms is an important task and a major research challenge in the field of metaheuristics. The fine-tuning process requires a robust statistical approach, in order to aid in the process understanding and also in the effective settings, as well as an efficient algorithm which can summarize the search process. This paper aims to present an approach combin

Los estilos APA, Harvard, Vancouver, ISO, etc.

27

Jafari, Soheil, Mohsen Majidi Pishkenari, Shahin Sohrabi, and Morteza Feizarefi. "Advanced modeling and control of 5 MW wind turbine using global optimization algorithms." Wind Engineering 43, no. 5 (2018): 488–505. http://dx.doi.org/10.1177/0309524x18807471.

Texto completo

Resumen

This article presents a methodological approach for controller gain tuning of wind turbines using global optimization algorithms. For this purpose, the wind turbine structural and aerodynamic modeling are first described and a complete model for a 5 MW wind turbine is developed as a case study based on a systematic modeling approach. The turbine control requirements are then described and classified using its power curve to generate an appropriate control structure for satisfying all turbine control modes simultaneously. Next, the controller gain tuning procedure is formulated as an engineerin

Los estilos APA, Harvard, Vancouver, ISO, etc.

28

Lam, Xuan-Binh. "Multidiscilinary design optimization for aircraft wing using response surface method, genetic algorithm, and simulated annealing." Journal of Science and Technology in Civil Engineering (STCE) - NUCE 14, no. 1 (2020): 28–41. http://dx.doi.org/10.31814/stce.nuce2020-14(1)-03.

Texto completo

Resumen

Multidisciplinary Design Optimization (MDO) has received a considerable attention in aerospace industry. The article develops a novel framework for Multidisciplinary Design Optimization of aircraft wing. Practically, the study implements a high-fidelity fluid/structure analyses and accurate optimization codes to obtain the wing with best performance. The Computational Fluid Dynamics (CFD) grid is automatically generated using Gridgen (Pointwise) and Catia. The fluid flow analysis is carried out with Ansys Fluent. The Computational Structural Mechanics (CSM) mesh is automatically created by Pat

Los estilos APA, Harvard, Vancouver, ISO, etc.

29

Yadav, Suman, Richa Yadav, Ashwni Kumar, and Manjeet Kumar. "Design of Optimal Two-Dimensional FIR Filters with Quadrantally Symmetric Properties Using Vortex Search Algorithm." Journal of Circuits, Systems and Computers 29, no. 10 (2019): 2050155. http://dx.doi.org/10.1142/s0218126620501558.

Texto completo

Resumen

This research paper presents a new evolutionary technique named vortex search optimization (VSO) to design digital 2D finite impulse response (FIR) filter for improved performance both in pass-band and stop-band regions. Optimum filter coefficients are calculated by minimizing the deviation of actual frequency response from specified or desired response. Efficiency of the designed filter is measured by several parameters, such as maximum pass-band ripple, maximum stop-band ripple, mean attenuation in stop band and time taken, to execute the code. Analysis of the performance of designed filter

Los estilos APA, Harvard, Vancouver, ISO, etc.

30

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.

Texto completo

Resumen

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

Los estilos APA, Harvard, Vancouver, ISO, etc.

31

Zhang, Zilong, Xiaodong Xu, and Yanan Wu. "Transmit Beamforming Optimization Design for Broadband Multigroup Multicast System." Mathematical Problems in Engineering 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/563863.

Texto completo

Resumen

Spectral efficient transmission techniques are necessary and promising for future broadband wireless communications, where the quality of service (QoS) and/or max-min fair (MMF) of intended users are often considered simultaneously. In this paper, both the QoS problem and the MMF problem are investigated together for transmit beamforming in broadband multigroup multicast channels with frequency-selective fading characters. We first present a basic algorithm by directly using the results in frequency-flat multigroup multicast systems (Karipidis et al., 2008), namely, the approximation algorithm

Los estilos APA, Harvard, Vancouver, ISO, etc.

32

Alahyari, Arman, David Pozo, and Meisam Farrokhifar. "Online Learning Algorithms for the Real-Time Set-Point Tracking Problem." Applied Sciences 11, no. 14 (2021): 6620. http://dx.doi.org/10.3390/app11146620.

Texto completo

Resumen

With the recent advent of technology within the smart grid, many conventional concepts of power systems have undergone drastic changes. Owing to technological developments, even small customers can monitor their energy consumption and schedule household applications with the utilization of smart meters and mobile devices. In this paper, we address the power set-point tracking problem for an aggregator that participates in a real-time ancillary program. Fast communication of data and control signal is possible, and the end-user side can exploit the provided signals through demand response progr

Los estilos APA, Harvard, Vancouver, ISO, etc.

33

Abderrahim, Zemmit, Herraguemi Kamel Eddine, and Messalti Sabir. "A New Improved Variable Step Size MPPT Method for Photovoltaic Systems Using Grey Wolf and Whale Optimization Technique Based PID Controller." Journal Européen des Systèmes Automatisés 54, no. 1 (2021): 175–85. http://dx.doi.org/10.18280/jesa.540120.

Texto completo

Resumen

In this work, we have developed two new intelligent maximum power point tracking (MPPT) techniques for photovoltaic (PV) solar systems. To optimize the PWM duty cycle driving the DC/DC boost converter, we have used two optimization algorithms namely the whale optimization algorithm (WOA) and grey wolf optimization (GWO) so we can tune the PID controller gains. The oscillation around the MPP and the fail accuracy under fast variable isolation are among the well-known drawbacks of conventional MPPT algorithms. To overcome these two drawbacks, we have formulated a new objective fitness function t

Los estilos APA, Harvard, Vancouver, ISO, etc.

34

Alshareef, Muhannad, Zhengyu Lin, Mingyao Ma, and Wenping Cao. "Accelerated Particle Swarm Optimization for Photovoltaic Maximum Power Point Tracking under Partial Shading Conditions." Energies 12, no. 4 (2019): 623. http://dx.doi.org/10.3390/en12040623.

Texto completo

Resumen

This paper presents an accelerated particle swarm optimization (PSO)-based maximum power point tracking (MPPT) algorithm to track global maximum power point (MPP) of photovoltaic (PV) generation under partial shading conditions. Conventional PSO-based MPPT algorithms have common weaknesses of a long convergence time to reach the global MPP and oscillations during the searching. The proposed algorithm includes a standard PSO and a perturb-and-observe algorithm as the accelerator. It has been experimentally tested and compared with conventional MPPT algorithms. Experimental results show that the

Los estilos APA, Harvard, Vancouver, ISO, etc.

35

Rakha, Tarek, and Khaled Nassar. "Genetic algorithms for ceiling form optimization in response to daylight levels." Renewable Energy 36, no. 9 (2011): 2348–56. http://dx.doi.org/10.1016/j.renene.2011.02.006.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

36

Mia, Mozammel, Grzegorz Królczyk, Radosław Maruda, and Szymon Wojciechowski. "Intelligent Optimization of Hard-Turning Parameters Using Evolutionary Algorithms for Smart Manufacturing." Materials 12, no. 6 (2019): 879. http://dx.doi.org/10.3390/ma12060879.

Texto completo

Resumen

Recently, the concept of smart manufacturing systems urges for intelligent optimization of process parameters to eliminate wastage of resources, especially materials and energy. In this context, the current study deals with optimization of hard-turning parameters using evolutionary algorithms. Though the complex programming, parameters selection, and ability to obtain the global optimal solution are major concerns of evolutionary based algorithms, in the present paper, the optimization was performed by using efficient algorithms i.e., teaching–learning-based optimization and bacterial foraging

Los estilos APA, Harvard, Vancouver, ISO, etc.

37

Xie, Zhengchao, W. Steve Shepard Jr., and Keith A. Woodbury. "Design Optimization for Vibration Reduction of Viscoelastic Damped Structures Using Genetic Algorithms." Shock and Vibration 16, no. 5 (2009): 455–66. http://dx.doi.org/10.1155/2009/136913.

Texto completo

Resumen

Due to the large number of design variables that can be present in complex systems incorporating visco-elastic damping, this work examines the application of genetic algorithms in optimizing the response of these structures. To demonstrate the applicability of genetic algorithms (GAs), the approach is applied to a simple viscoelastically damped constrained-layer beam. To that end, a finite element model (FEM) derived by Zapfe, which was based on Rao's formulation, was used for a beam with constrained-layer damping. Then, a genetic algorithm is applied to simultaneously determine the thicknesse

Los estilos APA, Harvard, Vancouver, ISO, etc.

38

Wagner, Tobias, and Simon Wessing. "On the Effect of Response Transformations in Sequential Parameter Optimization." Evolutionary Computation 20, no. 2 (2012): 229–48. http://dx.doi.org/10.1162/evco_a_00061.

Texto completo

Resumen

Parameter tuning of evolutionary algorithms (EAs) is attracting more and more interest. In particular, the sequential parameter optimization (SPO) framework for the model-assisted tuning of stochastic optimizers has resulted in established parameter tuning algorithms. In this paper, we enhance the SPO framework by introducing transformation steps before the response aggregation and before the actual modeling. Based on design-of-experiments techniques, we empirically analyze the effect of integrating different transformations. We show that in particular, a rank transformation of the responses p

Los estilos APA, Harvard, Vancouver, ISO, etc.

39

Dokeroglu, Tansel, Seyyit Alper Sert, and Muhammet Serkan Cinar. "Evolutionary Multiobjective Query Workload Optimization of Cloud Data Warehouses." Scientific World Journal 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/435254.

Texto completo

Resumen

With the advent of Cloud databases, query optimizers need to find paretooptimal solutions in terms of response time and monetary cost. Our novel approach minimizes both objectives by deploying alternative virtual resources and query plans making use of the virtual resource elasticity of the Cloud. We propose an exact multiobjective branch-and-bound and a robust multiobjective genetic algorithm for the optimization of distributed data warehouse query workloads on the Cloud. In order to investigate the effectiveness of our approach, we incorporate the devised algorithms into a prototype system.

Los estilos APA, Harvard, Vancouver, ISO, etc.

40

Chand, Sabyasachi, and Anjan Dutta. "Reliable Shape Optimization of Structures Subjected to Transient Dynamic Loading Using Genetic Algorithms." Shock and Vibration 12, no. 6 (2005): 407–24. http://dx.doi.org/10.1155/2005/290540.

Texto completo

Resumen

This paper presents a reliable method of solution of two dimensional shape optimization problems subjected to transient dynamic loads using Genetic Algorithms. Boundary curves undergoing shape changes have been represented by B-splines. Automatic mesh generation and adaptive finite element analysis modules are integrated with Genetic algorithm code to carry out the shape optimization. Both space and time discretization errors are evaluated and appropriate finite element mesh and time step values as obtained iteratively are adopted for accurate dynamic response. Two demonstration problems have

Los estilos APA, Harvard, Vancouver, ISO, etc.

41

Mishra, Kaushik, and Santosh Kumar Majhi. "A binary Bird Swarm Optimization based load balancing algorithm for cloud computing environment." Open Computer Science 11, no. 1 (2021): 146–60. http://dx.doi.org/10.1515/comp-2020-0215.

Texto completo

Resumen

Abstract Task scheduling and load balancing are a concern for service providers in the cloud computing environment. The problem of scheduling tasks and balancing loads in a cloud is categorized under an NP-hard problem. Thus, it needs an efficient load scheduling algorithm that not only allocates the tasks onto appropriate VMs but also maintains the trade-off amidst VMs. It should keep an equilibrium among VMs in a way that reduces the makespan while maximizing the utilization of resources and throughput. In response to it, the authors propose a load balancing algorithm inspired by the mimicki

Los estilos APA, Harvard, Vancouver, ISO, etc.

42

Abdollahzadeh, Asaad, Alan Reynolds, Mike Christie, David Corne, Brian Davies, and Glyn Williams. "Bayesian Optimization Algorithm Applied to Uncertainty Quantification." SPE Journal 17, no. 03 (2012): 865–73. http://dx.doi.org/10.2118/143290-pa.

Texto completo

Resumen

Summary Prudent decision making in subsurface assets requires reservoir uncertainty quantification. In a typical uncertainty-quantification study, reservoir models must be updated using the observed response from the reservoir by a process known as history matching. This involves solving an inverse problem, finding reservoir models that produce, under simulation, a similar response to that of the real reservoir. However, this requires multiple expensive multiphase-flow simulations. Thus, uncertainty-quantification studies employ optimization techniques to find acceptable models to be used in p

Los estilos APA, Harvard, Vancouver, ISO, etc.

43

Zhu, Jiecheng, Xitian Wang, Da Xie, and Chenghong Gu. "Control Strategy for MGT Generation System Optimized by Improved WOA to Enhance Demand Response Capability." Energies 12, no. 16 (2019): 3101. http://dx.doi.org/10.3390/en12163101.

Texto completo

Resumen

The grid-connected micro gas turbine (MGT) generation system is playing an important role in power systems because of its demand response capability and application in combined heat and power (CHP) systems. When applied to promote demand response, the generation system is expected to respond to follow instructions quickly, but a rapid response harms the safety and is not conducive to the benefits of customers, which leads to a contradiction. In this paper, a closed-loop power control is introduced for the MGT to improve demand response capability. The rate of fuel valve opening is limited so a

Los estilos APA, Harvard, Vancouver, ISO, etc.

44

Károly, Lengyel, Ovidiu Stan, and Liviu Miclea. "Seismic Model Parameter Optimization for Building Structures." Sensors 20, no. 7 (2020): 1980. http://dx.doi.org/10.3390/s20071980.

Texto completo

Resumen

Structural dynamic modeling is a key element in the analysis of building behavior for different environmental factors. Having this in mind, the authors propose a simple nonlinear model for studying the behavior of buildings in the case of earthquakes. Structural analysis is a key component of seismic design and evaluation. It began more than 100 years ago when seismic regulations adopted static analyzes with lateral loads of about 10% of the weight of the structure. Due to the dynamics and non-linear response of the structures, advanced analytical procedures were implemented over time. The aut

Los estilos APA, Harvard, Vancouver, ISO, etc.

45

Pinto, Antonio, Daniele Peri, and Emilio F. Campana. "Multiobjective Optimization of a Containership Using Deterministic Particle Swarm Optimization." Journal of Ship Research 51, no. 03 (2007): 217–28. http://dx.doi.org/10.5957/jsr.2007.51.3.217.

Texto completo

Resumen

The purpose of this paper is to show how the improvement of the hydrodynamics performance of a ship can be obtained by solving a shape optimization problem using the particle swarm optimization (PSO) technique. PSO has been recently introduced to solve global optimization problems and belongs to the class of evolutionary algorithms. In this paper, the basic stochastic algorithm is modified into a deterministic method, eliminating the randomized heuristic search. This algorithm has been then extended to deal with multiobjective problems by following the concept of subswarms and introducing a ne

Los estilos APA, Harvard, Vancouver, ISO, etc.

46

Long, Hai Xia, Xiu Hong Zhang, and Zhuang Jian Mo. "Culture Conditions Optimization of Hyaluronic Acid Production Based on GP and QPSO Algorithms." Advanced Materials Research 424-425 (January 2012): 141–45. http://dx.doi.org/10.4028/www.scientific.net/amr.424-425.141.

Texto completo

Resumen

This study aimed to optimize the culture conditions (agitation speed, aeration rate and stirrer number) of hyaluronic acid production by Streptococcus zooepidemicus. Two optimization algorithms were used for comparison: response surface methodology (RSM) and genetic programming coupling Quantum-behaved particle swarm optimization algorithm (GP-QPSO). In GP -QPSO approach, GP is employed to model the microbial HA production and QPSO algorithm is used to find out the optimal culture conditions with the established GP estimator as the objective function. The maximum predicted value of HA producti

Los estilos APA, Harvard, Vancouver, ISO, etc.

47

Akwafuo, Sampson E., Armin R. Mikler, and Fariba A. Irany. "OPTIMIZATION MODELS FOR EMERGENCY RESPONSE AND POST-DISASTER DELIVERY LOGISTICS: A REVIEW OF CURRENT APPROACHES." International Journal of Engineering Technologies and Management Research 7, no. 8 (2020): 35–49. http://dx.doi.org/10.29121/ijetmr.v7.i8.2020.738.

Texto completo

Resumen

Emergency response preparedness increases disaster resilience and mitigates its possible impacts, mostly in public health emergencies. Prompt activation of these response plans and rapid optimization of delivery models and are essential for effective management of emergencies and disaster. In this paper, existing computational models and algorithms for routing deliveries and logistics during public health emergencies are identified. An overview of recent developments of optimization models and contributions, with emphasis on their applications in situations of uncertainties and unreliability,

Los estilos APA, Harvard, Vancouver, ISO, etc.

48

Zhang, Hong, Guangchen Bai, and Lukai Song. "Multiobjective Design Optimization Framework for Multicomponent System with Complex Nonuniform Loading." Mathematical Problems in Engineering 2020 (August 19, 2020): 1–19. http://dx.doi.org/10.1155/2020/7695419.

Texto completo

Resumen

To improve the accuracy and efficiency of multiobjective design optimization for a multicomponent system with complex nonuniform loads, an efficient surrogate model (the decomposed collaborative optimized Kriging model, DCOKM) and an accurate optimal algorithm (the dynamic multiobjective genetic algorithm, DMOGA) are presented in this study. Furthermore, by combining DCOKM and DMOGA, the corresponding multiobjective design optimization framework for the multicomponent system is developed. The multiobjective optimization design of the carrier roller system is considered as a study case to verif

Los estilos APA, Harvard, Vancouver, ISO, etc.

49

Lu, Juan, Xiaoping Liao, Steven Li, Haibin Ouyang, Kai Chen, and Bing Huang. "An Effective ABC-SVM Approach for Surface Roughness Prediction in Manufacturing Processes." Complexity 2019 (June 13, 2019): 1–13. http://dx.doi.org/10.1155/2019/3094670.

Texto completo

Resumen

It is difficult to accurately predict the response of some stochastic and complicated manufacturing processes. Data-driven learning methods which can mine unseen relationship between influence parameters and outputs are regarded as an effective solution. In this study, support vector machine (SVM) is applied to develop prediction models for machining processes. Kernel function and loss function are Gaussian radial basis function and ε-insensitive loss function, respectively. To improve the prediction accuracy and reduce parameter adjustment time of SVM model, artificial bee colony algorithm (A

Los estilos APA, Harvard, Vancouver, ISO, etc.

50

Namvar Gharehshiran, Omid, Vikram Krishnamurthy, and George Yin. "Adaptive Search Algorithms for Discrete Stochastic Optimization: A Smooth Best-Response Approach." IEEE Transactions on Automatic Control 62, no. 1 (2017): 161–76. http://dx.doi.org/10.1109/tac.2016.2539225.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

Ofrecemos descuentos en todos los planes premium para autores cuyas obras están incluidas en selecciones literarias temáticas. ¡Contáctenos para obtener un código promocional único!