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Titlebook: Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis; Erik Cuevas,Alberto Luque,Beatriz Rivera Book 2024 The Editor

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21#
發(fā)表于 2025-3-25 06:22:32 | 只看該作者
22#
發(fā)表于 2025-3-25 11:10:36 | 只看該作者
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發(fā)表于 2025-3-25 13:52:32 | 只看該作者
A Measure of Diversity for Metaheuristic Algorithms Employing Population-Based Approaches,s within the population. In a comparative analysis with five diversity metrics discussed in existing literature, our proposition demonstrates comparable stability, sensitivity, and robustness outcomes, particularly in the presence of outliers, all achieved without significant increases in computational overhead.
24#
發(fā)表于 2025-3-25 17:46:12 | 只看該作者
Population Control in Metaheuristic Algorithms: Can Fewer Be Better?,, unimodal, hybrid, and shifted functions, as well as real-world interplanetary trajectory design problems. Comparative analyses highlight the superior performance of the modified DE algorithm over existing state-of-the-art metaheuristic approaches.
25#
發(fā)表于 2025-3-25 21:01:07 | 只看該作者
Book 2024ture innovative search mechanisms, setting them apart from conventional metaheuristic methods. Secondly, this book endeavors to systematically assess the performance of well-established algorithms across a spectrum of intricate and real-world problems. Finally, this book serves as a vital resource f
26#
發(fā)表于 2025-3-26 00:52:16 | 只看該作者
27#
發(fā)表于 2025-3-26 05:14:30 | 只看該作者
Fractional Fuzzy Controller Using Metaheuristic Techniques,itions, leading it to solve critical problems such as premature convergence ratio and a limited balance between exploration and exploitation. The experimental results prove the effectiveness of the proposed approach.
28#
發(fā)表于 2025-3-26 09:37:16 | 只看該作者
1860-949X sing the performance of metaheuristic.Offers practical insig.This book encompasses three distinct yet interconnected objectives. Firstly, it aims to present and elucidate novel metaheuristic algorithms that feature innovative search mechanisms, setting them apart from conventional metaheuristic meth
29#
發(fā)表于 2025-3-26 13:36:13 | 只看該作者
Utilizing the Moth Swarm Algorithm to Improve Image Contrast,l clusters detracts from image visualization and hinders ICE enhancement processes by disrupting the proper distribution of significant pixel intensities. Consequently, many ICE methods encounter issues such as artifact generation, noise amplification, oversaturation, and reduced human visual perception.
30#
發(fā)表于 2025-3-26 20:40:50 | 只看該作者
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