Particle Swarm Optimization (PSO) is a classic and popularly used meta-heuristic algorithm in many real-life optimization problems due to its less computational complexity and simplicity.The binary version of PSO, known as BPSO, is used to solve binary optimization problems, such as feature selection.Like other meta-heuristic optimization technique
Case report: Reconstruction of distal medial tibial epiphysis using iliac crest apophyseal autograft
BackgroundSalter-Harris type VI physeal fracture is a rare injury.This case study aims to present a novel method for treating a rare entity of Salter-Harris type Salter-Harris VI physeal injury of the medial malleolus.Case presentationA 6-year-old boy with Salter-Harris type VI physeal injury was successfully treated using the two-stage procedure.I
Joint beam hopping and coverage control optimization algorithm for multibeam satellite system
To improve the performance of multibeam satellite (MBS) systems, a deep reinforcement learning-based algorithm to jointly optimize the beam hopping and coverage control (BHCC) algorithm for MBS was proposed.Firstly, the resource allocation problem in MBS was transformed to a multi-objective optimization problem with the objective maximizing the sys