A Gaussian random walk salp swarm algorithm for optimal dynamic charging of electric vehicles-Reference-Cited by-同舟云学术

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A Gaussian random walk salp swarm algorithm for optimal dynamic charging of electric vehicles

Published:2023-11 Issue: Volume:147 Page:110838
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Ahmed Mohamed^ORCID,Kamel Sara H.^ORCID,Abbasy Nabil H.^ORCID,Abouelseoud Yasmine^ORCID

Publisher

Elsevier BV

Subject

Software

Reference43 articles.

1. Metaheuristic Optimization in Power Engineering;Radosavljević,2018

2. A survey on new generation metaheuristic algorithms;Dokeroglu;Comput. Ind. Eng.,2019

3. Population-based vs. single point search meta-heuristics for a pid controller tuning;Roeva,2014

4. Handbook of AI-Based Metaheuristics;Kulkarni,2021

5. A review on genetic algorithm: past, present, and future;Katoch;Multimed. Tools Appl.,2021

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1. An improved genetic salp swarm algorithm with population partitioning for numerical optimization;Information Sciences;2024-09

2. Development of a Novel Hybrid Salp Swarm-Kepler Algorithm for Engineering Problems: Optimizing Microgrid Sizing with Integration of Photovoltaic, Wind, Battery, and Supercapacitor Systems;2024-07-22

3. Evolutionary algorithms for dynamic optimization of plug-in charging station networks;MATEC Web of Conferences;2024

4. HSABC ALGORITHM FOR ECONOMIC OPERATION EMISSION BASED;JEECS (Journal of Electrical Engineering and Computer Sciences);2023-12-31

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