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標題: Titlebook: Analysis and Comparison of Metaheuristics; Erik Cuevas,Omar Avalos,Jorge Gálvez Book 2023 The Editor(s) (if applicable) and The Author(s), [打印本頁]

作者: fasten    時間: 2025-3-21 16:38
書目名稱Analysis and Comparison of Metaheuristics影響因子(影響力)




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書目名稱Analysis and Comparison of Metaheuristics讀者反饋




書目名稱Analysis and Comparison of Metaheuristics讀者反饋學科排名





作者: projectile    時間: 2025-3-21 21:18

作者: ARC    時間: 2025-3-22 00:25
Fractional-Order Estimation Using via Locust Search Algorithm, as a consequence of an improper balance among the evolutionary exploration stage and exploitation stage. This chapter introduces an evolutionary approach to estimating the parameter values of fractional-order chaotic systems. To estimate the parameters, the proposed approach employs a newly develop
作者: 灰姑娘    時間: 2025-3-22 05:53
https://doi.org/10.1007/978-3-319-22410-7 as a consequence of an improper balance among the evolutionary exploration stage and exploitation stage. This chapter introduces an evolutionary approach to estimating the parameter values of fractional-order chaotic systems. To estimate the parameters, the proposed approach employs a newly develop
作者: Texture    時間: 2025-3-22 12:21
Comparison of Optimization Techniques for Solar Cells Parameter Identification,arameters of their design, which becomes a complex task due to the multimodality and non-linearity of their error surfaces, increasing the difficulty of their optimization. EC’s techniques are employed for determining optimal solutions to complex problems.
作者: 孤獨無助    時間: 2025-3-22 14:27

作者: 獸群    時間: 2025-3-22 20:47
1860-949X n introduction to Analysis and Comparison of Metaheuristics This book presents a comparative perspective of current metaheuristic developments, which have proved to be effective in their application to several complex problems. The study of biological and social entities such as animals, humans, or
作者: THE    時間: 2025-3-23 00:32

作者: Hallmark    時間: 2025-3-23 04:59
A Comparative Approach for Two-Dimensional Digital IIR Filter Design Applying Different Evolutionar 2D-IIR filters can easily generate unstable transfer functions, they produce multimodal error surfaces which are complex to optimize. On the other hand, Evolutionary Computation (EC) techniques methods with the ability to explore complex search spaces for suitable solutions.
作者: 不透明性    時間: 2025-3-23 08:13

作者: 不規(guī)則的跳動    時間: 2025-3-23 11:01
Fundamentals of Metaheuristic Computation,these approaches. An important purpose of this chapter is also to recognize the importance of metaheuristic methods to solve optimization problems in cases in which traditional techniques are not suitable.
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作者: 軟膏    時間: 2025-3-24 11:53

作者: capsaicin    時間: 2025-3-24 16:09
Wade D. Cook,D. Chai,J. Doyle,R. GreenAgent-based models represent new approaches to characterize systems through simple rules. Under such techniques, complex global behavioral patterns emerge from the agent interactions produced by the rules.
作者: Cursory    時間: 2025-3-24 22:21
Comparison of Metaheuristics for Chaotic Systems Estimation,In recent years Parameter Estimation (PE) has attracted the attention of the scientific community.
作者: 單挑    時間: 2025-3-25 02:55
Comparison of Metaheuristics Techniques and Agent-Based Approaches,Agent-based models represent new approaches to characterize systems through simple rules. Under such techniques, complex global behavioral patterns emerge from the agent interactions produced by the rules.
作者: 痛苦一下    時間: 2025-3-25 04:19

作者: white-matter    時間: 2025-3-25 07:31
978-3-031-20107-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
作者: mitral-valve    時間: 2025-3-25 14:20

作者: 惰性女人    時間: 2025-3-25 18:20
Studies in Computational Intelligencehttp://image.papertrans.cn/a/image/156156.jpg
作者: 現(xiàn)任者    時間: 2025-3-25 22:35
Fundamentals of Metaheuristic Computation,these approaches. An important purpose of this chapter is also to recognize the importance of metaheuristic methods to solve optimization problems in cases in which traditional techniques are not suitable.
作者: BRIDE    時間: 2025-3-26 03:00

作者: ODIUM    時間: 2025-3-26 04:46
IIR System Identification Using Several Optimization Techniques: A Review Analysis,er their equivalent FIR (finite impulse response) models since they represent more accurate real-world applications. Nevertheless, IIR models tend to generate multimodal error surfaces which are significantly difficult to optimize.
作者: degradation    時間: 2025-3-26 10:31
Analysis and Comparison of Metaheuristics978-3-031-20105-9Series ISSN 1860-949X Series E-ISSN 1860-9503
作者: Heresy    時間: 2025-3-26 15:28
https://doi.org/10.1007/978-1-84800-119-0these approaches. An important purpose of this chapter is also to recognize the importance of metaheuristic methods to solve optimization problems in cases in which traditional techniques are not suitable.
作者: FLASK    時間: 2025-3-26 20:19

作者: SHOCK    時間: 2025-3-26 21:11

作者: 石墨    時間: 2025-3-27 01:51

作者: amygdala    時間: 2025-3-27 07:23
Peter O’Shea,Amin Z. Sadik,Zahir M. Hussainpplications. Incorporating a user-defined filter in the 2D-IIR structure can be represented as an optimization problem. Nevertheless, considering that 2D-IIR filters can easily generate unstable transfer functions, they produce multimodal error surfaces which are complex to optimize. On the other ha
作者: FLOAT    時間: 2025-3-27 13:20
Peter O’Shea,Amin Z. Sadik,Zahir M. Hussain stochastic structure. Traditional image processing methods have been commonly employed to solve this situation. Additionally, shape recognition considers evolutionary computation techniques. They have been exposed to better performance in terms of accurateness than traditional optimization methods.
作者: stratum-corneum    時間: 2025-3-27 14:47
Peter O’Shea,Amin Z. Sadik,Zahir M. Hussainer their equivalent FIR (finite impulse response) models since they represent more accurate real-world applications. Nevertheless, IIR models tend to generate multimodal error surfaces which are significantly difficult to optimize.
作者: 鉗子    時間: 2025-3-27 21:49
https://doi.org/10.1007/978-3-319-22410-7estimation process, the parameters of a given system are formulated into an optimization problem. One of the most interesting estimation problems relies on fractional-order systems. Where functional parameters and fractional orders parameters of the chaotic system are considered as decision variable
作者: 格言    時間: 2025-3-27 23:26

作者: chisel    時間: 2025-3-28 05:24
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作者: 清晰    時間: 2025-3-28 09:07
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作者: 膝蓋    時間: 2025-3-28 11:58
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作者: 文藝    時間: 2025-3-28 16:26
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