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Abstract

Islam S Fathi 著者 at IgMin Research

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Research Article Article ID: igmin172
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Open Access Policy refers to a set of principles and guidelines aimed at providing unrestricted access to scholarly research and literature. It promotes the free availability and unrestricted use of research outputs, enabling researchers, students, and the general public to access, read, download, and distribute scholarly articles without financial or legal barriers. In this response, I will provide you with an overview of the history and latest resolutions related to Open Access Policy.

Improved Energy Valley Optimizer with Levy Flight for Optimization Problems
by Nabila H Shikoun and Islam S Fathi

Energy Valley Optimizer (EVO) is one of the recent metaheuristic algorithms. It draws inspiration from advanced principles in physics related to particle stability and decay modes. This paper presents a new Energy Valley Optimizer (EVO) and levy flights that are hybrid to improve the EVO in solving optimization problems. Levy flight is one of the most important randomization techniques. Fifteen mathematical test functions (five unimodal functions, four multimodal functions, and six composite functions) are solved with the proposed algorithm. We... also compare our results with previous results of metaheuristic algorithms. The statistical results show that the results of the Levy Energy Valley Optimizer (LEVO) outperform other algorithms in almost all mathematical test functions.

Data Engineering Artificial IntelligenceMachine Learning
Islam S Fathi

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仕事内容

 Al Alson Higher Institute

 Department of Information Systems, Al Alson Higher Institute, Cairo 11762, Egypt

 Egypt

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