全局优化问题的元启发式算法综述

A. H. Zaied, Mahmoud Ismail, S. El-Sayed
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引用次数: 12

摘要

优化是一个更重要的研究领域。随着现实世界问题的日益复杂,更加高效可靠的优化算法至关重要。传统的方法无法解决这些问题,因此,解决这些问题的首选方法是元启发式算法。元启发式算法证明了其解决更复杂问题的能力,并给出了更令人满意的结果。在本文中,我们介绍了较流行的元启发式算法及其应用,并提供了这些算法的最新参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey on Meta-heuristic Algorithms for Global Optimization Problems
Optimization is a more important field of research. With increasing the complexity of real-world problems, the more efficient and reliable optimization algorithms vital. Traditional methods are unable to solve these problems so, the first choice for solving these problems becomes meta-heuristic algorithms. Meta-heuristic algorithms proved their ability to solve more complex problems and giving more satisfying results. In this paper, we introduce the more popular meta-heuristic algorithms and their applications in addition to providing the more recent references for these algorithms.
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CiteScore
1.70
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