In this paper, a hybrid meta-heuristic algorithm, based on imperialistic competition algorithm (ICA), harmony search … (HS), and simulated annealing (SA) is presented. The body of the proposed hybrid algorithm is based on ICA. The proposed … hybrid algorithm inherits the advantages of the process of harmony creation in HS algorithm to improve the exploitation phase …

pioneers the implementation, configuration, and evaluation of Particle Swarm Optimization (PSO) against other optimization … algorithms for sEMG signal detection, including Genetic algorithms (GA), Simulated Annealing (SA), Ant Colony Optimization (ACO …), and Tabu Search (TS). The results show that the PSO algorithm achieves the highest median accuracy and F1-Score and is the …

This study proposes a modified Particle Swarm Optimization (PSO) algorithm based on Hummingbird Flight (HBF) patterns … suites is conducted to verify the effectiveness of the proposed PSO-HBF algorithm. The proposed algorithm is also evaluated … demonstrated that the PSO-HBF algorithm is superior to seven other modified algorithms, improving eight and ten functions on the …

challenge for WNNs' initialization. The cuckoo search algorithm (CSA) is used in this study for optimizing WNNs. The position of …

-convexity nature of the solution space motivates us to focus on the population-based meta-heuristic algorithm, i.e. Genetic Algorithm … (GA), Simulated Annealing (SA) and Particle Swarm Optimization (PSO), along with their combination GA-SA, and GA-PSO. It … implements the algorithm and compares it with the greedy-based random placement approach, varying the number of IoT applications …

optimization problems with minimum computational effort. Their optimization performance is compared with respect to quality of the …

Whale Optimization Algorithm" (PWOA) to overcome the above-mentioned problem by combining Particle Swarm Optimization (PSO …) and Whale Optimization Algorithm (WOA). PSO's limitation in high-dimensional search spaces, characterized by slow … optimal algorithm for workflow scheduling poses a significant challenge due to the complexity and variability of tasks and …