Steer-by-wire performance is largely determined by the control system is applied. In this paper the present modeling and simulation of vehicle steering control system using Particle Swarm Optimization to tune the parameters that are needed on Fuzzy Logic and PID control, the cascade Fuzzy Logic and PID control used for controlling lateral motion and yaw motion errors on the vehicle model be rep...

In this paper, a method based on the particle swarm optimization (PSO) is proposed for pattern classification to select a fuzzy classification system with an appropriate number of fuzzy rules so that the number of incorrectly classified patterns is minimized. In the PSO-based method, each individual in the population is considered to automatically generate a fuzzy classification system for an M...

One of the most significant and effective criteria in the process of cutting dimensional rocks using the gang saw is the maximum energy consumption rate of the machine, and its accurate prediction and estimation can help designers and owners of this industry to achieve an optimal and economic process. In the present research work, it is attempted to study and provide models for predicting the m...

Particle swarm optimization (PSO) has undergone many changes since its introduction in 1995. Being a stochastic algorithm, PSO and its randomness present formidable challenge for the theoretical analysis of it, and few of the existing PSO improvements have make an effort to eliminate the random coefficients in the PSO updating formula. This paper analyzes the importance of the randomness in the...

This paper presents an efficient evolutionary method to optimize the gain ripple of multi-pumps photonic crystal fiber Raman amplifier using the Fuzzy Adaptive Modified PSO (FAMPSO) algorithm. The original PSO has difficulties in premature convergence, performance and the diversity loss in optimization as well as appropriate tuning of its parameters. The feasibility and effectiveness of the pro...

Particle Swarm Optimization (PSO) approach intertwined with Lozi map chaotic sequences to obtain Takagi–Sugeno (TS) fuzzy model for representing dynamical behaviours are proposed in this paper. The proposed method is an alternative for nonlinear identification approaches especially when dealing with complex systems that cannot always be modelled using first principles to determine their dynamic...

This paper presents an improved particle swarm optimization (PSO) and discrete PSO (DPSO) with an enhancement operation by using a self-adaptive evolution strategies (ES). This improved PSO/DPSO is proposed for joint optimization of three-layer feedforward artificial neural network (ANN) structure and parameters (weights and bias), which is named ESPNet. The experimental results on two real-wor...

This paper presents an improved Particle Swarm Optimization (PSO) algorithm for solving Transient Stability Constrained Optimal Power Flow (TSCOPF) problem through the application of Gaussian and Cauchy probability distributions. The modified PSO approach introduces new diversification and intensification strategy into the particles thus preventing PSO algorithm from premature convergence. The ...

In this study, an improved gbest-PSO is proposed to overcome the shortcoming of earlier convergence of classical gbest-PSO. Then the improved gbest-PSO is used to identify the unknown inlet temperature profile in a plate channel flow. The effects of measurement position and measurement error on the accuracy of prediction are studied thoroughly. Analysis of computational results of two test prob...

In this paper, the behavior of different Particle Swarm Optimization (PSO) variants is analyzed when solving a set of well-known numerical constrained optimization problems. After identifying the most competitive one, some improvements are proposed to this variant regarding the parameter control and the constraint-handling mechanism. Furthermore, the on-line behavior of the improved PSO and som...