Traditional economic dispatch methods, which are used to minimize fuel costs, have become inadequate because they do not consider the environmental impact of emissions in optimization process. By taking into account horizon year load and carbon taxes, this paper examines operation power units a system. The objective function, including cost fuels is solved by modified particle swarm with time-v...

In this paper, we propose an early warning model of credit risk for cross-border e-commerce. Our proposed model, i.e., KPCA-MPSO-BP, is constructed using kernel principal component analysis (KPCA), improved particle swarm optimization (IPSO), and BP neural network. Initially, use KPCA to reduce the index Next, inertia weight threshold network are searched MPSO. Finally, used training data 13 di...

There is little empirical research examining the reasons behind multiple perpetrator sexual offending. A limited number of studies provide reasons for offending offered by perpetrators of this type of sexual violence, but only one published study exists where these perpetrators were interviewed regarding their offense. The Multi-Factorial Model of Multiple Perpetrator Sexual Offending (MPSO) pr...

in this paper, a new approach is proposed for the optimum design of single-phase induction motor. by using the classical design equations and the evolutionary algorithms such as genetic algorithms (ga), particle swarm optimization (pso) and modified particle swarm optimization (mpso), a single phase induction motor (spim) was designed with the maximum efficiency. the finite element method (fem)...

The increasing penetration of Distributed Generators (D.G.) into the existing power system has brought some real challenges regarding transient response electrical systems. injection D.G.s and abrupt load changes may cause massive power, current, voltage overshoots/undershoots, which consequently affects equilibrium deteriorate performance connected appliances. A robust intelligent control stra...

In the paper a modified particle swarm optimization (MPSO) is proposed where concepts from firefly algorithm (FA) are borrowed to enhance the performance of particle swarm optimization (PSO). The modifications focus on the velocity vectors of the PSO, which fully use beneficial information of the position of particles and increase randomization item in the PSO. Finally, the performance of the p...

Este articulo presenta una nueva técnica de optimización para ajustar simultáneamente los parámetros controladores asociados a la regulación tensión y aumentar amortiguación generadores síncronos. Los del Regulador Automático Voltaje (AVR - Automatic Voltage Regulation) el Estabilizador Sistema Potencia (PSS Power System Stabilizer) se optimizan mediante modificación propuesta en Optimización E...

For the premature convergence and initial pheromone distribution problem of ant colony optimization algorithm, an improved particle swarm optimization (MPSO) algorithm is introduced into ant colony optimization algorithm in order to propose a novel hybrid evolution optimization (HEACO) algorithm in this paper. In the proposed HEACO algorithm, the ergodicity of the chaos is used to initialize th...