Quantum-behaved particle swarm optimization (QPSO) is an efficient and powerful population-based optimization technique …, which is inspired by the conventional particle swarm optimization (PSO) and quantum mechanics theories. In this paper, an …), particle swarm optimization (PSO) and basic QPSO, as well as a number of other methods reported in the literature in terms of …

based on the particle swarm optimization algorithm (PSO) combined with the finite element method (FEM). The main goal is to …

This paper presents a new Fuzzy Adaptive Modified Particle Swarm Optimization algorithm (FAMPSO) for the placement of …

(specifically, particle swarm optimization, or PSO) is used to estimate parameters of spatial autoregressive models. PSO is an …

this paper, a load balancing algorithm using Multi Particle Swarm Optimization (MPSO) has been developed by utilizing the … benefits of particle swarm optimization (PSO) algorithm. Proposed approach aims to minimize the task overhead and maximize the …

the exploration ability as well as diversity in multi-objective Particle Swarm Optimization. The novel strategy searches …

linear regression (namely IMLR) model and support vector regression with particle swarm optimization algorithm (namely SVR …

Classical Particle Swarm Optimization (PSO) that has been attempted for the solution of complex constrained portfolio …

wrapper-based consensus process that relies on a particle swarm optimization adapted to feature selection. An ensemble of …

classification by using Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) optimization techniques. …