This paper presents a multi-objective optimization framework based on an improved particle swarm optimization (PSO) algorithm to address these challenges. The framework optimally allocates edge ...

Abstract: The particle swarm optimization (PSO) algorithm is a well-known optimization algorithm that has shown good performance in solving engineering problems. However, the performance and ...

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling ...

An enhanced particle swarm optimization method for wind resistance in high-rise buildings is introduced, focusing on weight ...

The configuration of classification and regression trees (CART) used to include tree-growing by greedy recursive partitioning, which selects the splitting parameters (i.e., splitting variables and ...

Keywords: image classification, image recognition, rice diseases, deep belief networks, switching particle swarm optimization algorithm. Citation: Lu Y, Du J, Liu P, Zhang Y and Hao Z (2022) Image ...

Particle swarm optimization isn't usually seen as the first-choice technique for training a neural network but, as James McCaffrey demonstrates, ... The Particle class defines a particle for use by ...

Novel 'cuckoo search algorithm' beats particle swarm optimization in engineering design. ScienceDaily . Retrieved May 28, 2025 from www.sciencedaily.com / releases / 2010 / 05 / 100527213816.htm ...

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling ...