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Contribution to the Knowledge of Ground Beetles (Coleoptera: Carabidae) from Pakistan
Zubair Ahmed, Haseeb Ahmed Lalika, Imran Khatri and Eric Kirschenhofer
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Investigation of Lateral Vibrations in Turbine-generator Unit 5 of the Inga 2 Hydroelectric Power Plant
André Mampuya Nzita, Edmond Phuku Phuati, Robert Muanda Ngimbi, Guyh Dituba Ngoma and Nathanaël Masiala Mavungu
Abstract

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Engineering Group Research Article 記事ID: igmin172

Improved Energy Valley Optimizer with Levy Flight for Optimization Problems

Data Engineering Artificial IntelligenceMachine Learning DOI10.61927/igmin172
Nabila H Shikoun 1,2 and
Islam S Fathi * 1
Affiliation

Affiliation

    1Department of Information Systems, Al Alson Higher Institute, Cairo 11762, Egypt

    2Department of Systems and Computer Engineering, Faculty of Engineering, Alazhar University, Cairo, Egypt

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要約

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.

数字

Algorithm 1 Figure a1: Algorithm 1...
(A) particles stability band (B) Emission process (C) Three types of decay [1]. Figure 1: (A) particles stability band (B) Emission process ...
Different forms of decay [1]. Figure 2: Different forms of decay [1]....
Convergence curves of algorithms on six of the test functions. Figure 3: Convergence curves of algorithms on six of the tes...
Behaviors of LEVO in small and large dimensions in unimodal test functions. Figure 4: Behaviors of LEVO in small and large dimensions in...
Behaviors of LEVO in small and large dimensions in multimodal test functions. Figure 5: Behaviors of LEVO in small and large dimensions in...

参考文献

    1. Azizi M, Aickelin U, A Khorshidi H, Baghalzadeh Shishehgarkhaneh M. Energy valley optimizer: a novel metaheuristic algorithm for global and engineering optimization. Sci Rep. 2023 Jan 5;13(1):226. doi: 10.1038/s41598-022-27344-y. PMID: 36604589; PMCID: PMC9816156.
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    9. Seyedali M, Mohammad MS, Andrew L. Grey wolf optimizer. Adv Eng Software. 2014; 69:46–61.
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    11. MiarNaeimi F, Azizyan G, Rashki M. ‘Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems.’ Knowl.-Based Syst. 2021; 213: 106711.
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    17. Fathi S, Makhlouf MAA, Osman E, Ahmed MA. An Energy-Efficient Compression Algorithm of ECG Signals in Remote Healthcare Monitoring Systems. IEEE Access. 2022; 10: 39129-39144.
    18. ELmanakhly DA. BinHOA: Efficient Binary Horse Herd Optimization Method for Feature Selection: Analysis and Validations. IEEE ACCESS. 2022; 10.
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