Improved Electro Search Algorithm with Intelligent Controller Control System: ESPID Algorithm

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 directly impact speed and performance of Electro Search (ESO) obtain global optimum point. ESPID was created by integrating with ESO algorithm. improved has been applied 7 multi-modal benchmark test functions. acquired results were compared those derived using ESO, PSO, Atom Optimization (ASO), Vector Space Model (VSM) algorithms. As a consequence, it determined algorithm’s mean score superior all Additionally, while comparing duration value standard deviations, observed faster than produces more accurate other for least cost problem production pressure vessels, which one real-life problems. Statistical Genetic ASO. found be methods 5885.452.