Inayet Hakki Cizmeci1,*, Adem Alpaslan Altun2
Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2555-2572, 2023, DOI:10.32604/iasc.2023.028851
- 17 August 2022
Abstract Studies have established that hybrid models outperform single models. The particle swarm algorithm (PSO)-based PID (proportional-integral-derivative) controller control system is used in this study to determine the parameters that directly impact the speed and performance of the Electro Search (ESO) algorithm to obtain the global optimum point. ESPID algorithm was created by integrating this system with the ESO algorithm. The improved ESPID algorithm has been applied to 7 multi-modal benchmark test functions. The acquired results were compared to those derived using the ESO, PSO, Atom Search Optimization (ASO), and Vector Space Model (VSM) algorithms. As More >
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