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

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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

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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

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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.

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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

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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.

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