Showing 1 - 10 of 18
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 …
Persistent link: https://www.econbiz.de/10014517280
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 …
Persistent link: https://www.econbiz.de/10014505228
challenge for WNNs' initialization. The cuckoo search algorithm (CSA) is used in this study for optimizing WNNs. The position of …
Persistent link: https://www.econbiz.de/10014506437
-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 …
Persistent link: https://www.econbiz.de/10014541508
optimization problems with minimum computational effort. Their optimization performance is compared with respect to quality of the …
Persistent link: https://www.econbiz.de/10014541921
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 …
Persistent link: https://www.econbiz.de/10014533321
Optimization is an act of decision-making for reaching a point in which the overall behaviour of the considered system … Generation Algorithm (MGA) as one of the recently developed metaheuristic algorithms in which the basic and advanced principles … truss optimization field, including the 25-bar, 72-bar and 200-bar truss structures, are used while a penalty method is …
Persistent link: https://www.econbiz.de/10013339197
appropriate search approach for design optimization purposes. Besides, the Tribe-Harmony Search (Tribe-HS) algorithm is also … algorithm which was developed based on the musical process of searching for the optimal condition of harmony to produce an … proposed for the first time in this paper to improve the performance of the HS algorithm which divides the HS's searching phase …
Persistent link: https://www.econbiz.de/10013339244
The Apparent Tardiness Cost (ATC) dispatching rule was initially developed to minimize tardiness in single-machine scheduling problems. ATC extensions have been frequently applied in other production settings, relying heavily on blocking idle machine capacity with a single-machine outlook; this...
Persistent link: https://www.econbiz.de/10014543471
-Linear Programming Problem (MINLP). A Genetic Algorithm-based heuristic is also recommended due to the computational complexity required …
Persistent link: https://www.econbiz.de/10014336906