This aim of this paper is to provide the immune particle swarm optimization (IPSO) algorithm for solving single-leader–multi-follower game (SLMFG). Through cooperating with (PSO) and an memory mechanism, IPSO designed. Furthermore, we define efficient Nash equilibrium from perspective mathematical economics, which maximizes social welfare further refines number equilibria. In end, numerical exp...

This paper presents a new algorithm named combination search strategy (CSS)-based improved particle swarm optimisation (IPSO) to address the resource allocation problem of multiple jammers. First, authors propose CSS effectively broaden limited range two-step solving framework. method not only simplifies solution framework but also considers combined relationship between beam pointing and trans...

In this paper, economic load dispatch (ELD) problem is solved by applying a suggested improved particle swarm optimization (IPSO) for reaching the lowest total power generation cost from wind farms (WFs) and thermal units (TUs). The IPSO modified version of Particle (PSO) changing velocity position updates. five best solutions are employed to replace so-far each in update mechanism used previou...

Selective Harmonic Elimination Pulse Width Modulation (SHEWM) can eliminate selected low order harmonics by solving nonlinear transcendental equations to obtain the switching angles in advance and achieve precise control. However, when equations, convergence rate solution accuracy of existing intelligent algorithms for multilevel inverter SHEPWM will decrease with increase number angles. In thi...

As an important part of data management, network traffic evaluation and prediction can not only find anomalies but also judge the future trends network. To predict more accurately, a novel hybrid model, integrating Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) long short-term memory neural (LSTM) optimized by improved particle swarm optimization (IPSO) algorithm, ...

In order to overcome the separately selection advantages of traditional feature and RBF neural network parameter, increase accuracy rate of network’s intrusion detection, there came up with a research on neural network intrusion detection of improved particle swarm optimization. According to optimize the feature selection of network and RBF neural network parameter, established a neural network...

This paper presents an Improved Particle Swarm Optimization (IPSO) to solve the Economic Dispatch (ED) problem with line flow constraints, bus voltage limits and generator operating constraints. In the proposed IPSO method, a new velocity strategy equation is formulated suitable for large scale system and the features of the Constriction Factor Approach (CFA) are also incorporated into the prop...