Abstract

This review paper presents a comprehensive and full review of the so-called optimization algorithm, multi-verse optimizer algorithm (MOA), and reviews its main characteristics and procedures. This optimizer is a kind of the most recent powerful nature-inspired meta-heuristic algorithms, where it has been successfully implemented and utilized in several optimization problems in a variety of several fields, which are covered in this context, such as benchmark test functions, machine learning applications, engineering applications, network applications, parameters control, and other applications of MOA. This paper covers all the available publications that have been used MOA in its application, which are published in the literature including the variants of MOA such as binary, modifications, hybridizations, chaotic, and multi-objective. Followed by its applications, the assessment and evaluation, and finally the conclusions, which interested in the current works on the optimization algorithm, recommend potential future research directions.

中文翻译：

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多诗词优化器算法：对其结果，变体和应用程序的全面调查

摘要

这篇综述文章对所谓的优化算法，多节优化器算法（MOA）进行了全面而全面的综述，并综述了其主要特征和过程。此优化程序是一种最新的，功能强大的，受自然启发的元启发式算法，已在其中成功实现并应用于各个领域的各种优化问题，如基准测试功能，机器学习应用程序，工程应用程序，网络应用程序，参数控制和MOA的其他应用程序。本文涵盖了已在MOA应用中使用的所有可用出版物，这些出版物已在文献中发表，包括MOA的变体，例如二进制，修饰，杂交，混沌和多目标。