Then they propose a new heuristic swarm intelligent method, named wolf pack algorithm (WPA). Experiments are conducted on a suit of benchmark functions with different characteristics, unimodal/multimodal, separable/nonseparable, and the impact of several distance measurements and parameters on WPA are ...
The training data set is used to train the neural network model and the prediction data set is optimised by the Wolf Pack algorithm for deep learning models to improve the accuracy of docking prediction points. The mathematical model of the soft control enables the docking of fusion loads ...
Xiao Y, Ming W, Shen D, He W, Ma J, Jiao J (2019) Wolf pack algorithm for optimisation of cutting parameters in WEDM using Taguchi method. Int J Internet Manuf Serv 6(2):139–154. https://doi.org/10.1504/IJIMS.2019.098226 Article Google Scholar Shijo JK, Palani TK, Kumar SS, ...
Surrounded by the most well-known optimization techniques in this category, dolphin partner optimization (DPO) [30], African vulture optimization algorithm [31], hunting search (HUS) [32], ant colony optimization (ACO) [33], cuckoo search (CS) [34], wolf pack search algorithm [35] and ...
The artwork, called "Portrait (自画像) of Edmond Belamy", was made by a machine learning algorithm (算法). The AI system was created by members of an art group called Obvious in Paris, France. It shows the portrait of a man, looking similar to subjects shown in historical paintings. ...
An artificial bee is a component of the Artificial Bee Colony (ABC) algorithm in computer science, mimicking the foraging behavior of honey bee swarms to find solutions in a multidimensional search space for optimization problems. AI generated definition based on: Journal of Network and Computer App...
Ma, Surface Defect Detection of CFRP Materials Based on Infrared Thermography and Attention U-Net Algorithm. Nondestructive Testing and Evaluation, 39(2) (2024) 238–257. Article ADS MATH Google Scholar A.K. Al-Musawi, F. Anayi and M. Packianather, Three-Phase Induction Motor Fault ...
Nevertheless, for large and complex problems, AI algorithms consume considerable computation time due to stochastic feature of the search approaches. Therefore, there is a potential requirement to develop efficient algorithm to find solutions under the limited resources, time, and money in real-world ...
The key technology for multi-UAVs formation flight lies in various control algorithms, including the flight-control algorithm for each individual UAV within the formation, the local path-planning algorithm, and the information communication and formation-control algorithm among multiple UAVs. Multi-UAV ...
The Gray Wolf Optimization (GWO) [10] imitates the hierarchy of leading and hunting behavior seen in a pack of grey wolves in the environment. The Particle Swarm Optimization (PSO) [11] is an algorithm inspired by social behavior in fish and birds. Many researchers have applied it due to ...