In this paper, we present a new chaotic control algorithm that leads to a fairly substantial improvement in the performance of the traditional fuzzy chaotic time series forecaster. The main idea is to use the Fuzzy Basis Functions (FBFs) expansion which allows us to view a Fuzzy Logic System (FLS) as a linear combination of the consequent parameters. Hence, the possibility to use a linear optim...

An artificial neural network (ANN) based on particle swarm optimization (PSO) was developed for the time series prediction. The hybrid ANN+PSO algorithm was applied on Mackey-Glass chaotic time series in the short-term x(t + 6). The performance prediction was evaluated and compared with other studies available in the literature. Also, we presented properties of the dynamical system via the stud...

Cloud workflow system is a kind of platform service based on cloud computing. It facilitates the automation of workflow applications. Between cloud workflow system and its counterparts, market-oriented business model is one of the most prominent factors. The optimization of task-level scheduling in cloud workflow system is a hot topic. As the scheduling is a NP problem, Ant Colony Optimization ...

According to bad effect of encryption and poor sensibility of the standard Logistics chaotic mapping algorithm in image encryption, an encryption algorithm of self-adaptive image is proposed based on 2D Logistics chaotic mapping. First of all, on the basis of Logistics mapping to join an iteration variable, form 2D Logistic discrete dynamical system to enhance the sensitivity of the original al...

A memristor is a kind of nonlinear electronic component. Parameter identification for memristive chaotic systems multi-dimensional variable optimization problem. It one the key issues in control and synchronization. To identify unknown parameters accurately quickly, we introduce, this paper, modified Pelican Optimization Algorithm (POA) called fractional-order Pareto (FPPOA). First, pelican pop...

Photovoltaic (PV) systems are becoming increasingly significant because they can convert solar energy into electricity. The conversion efficiency is related to the PV models’ parameters, so it crucial identify parameters of models. Recently, various metaheuristic methods have been proposed but cannot provide sufficient accurate and reliable performance. To address this problem, paper proposes a...

Unmanned aerial vehicles (UAVs) have shown their superiority in military and civilian missions. In the face of complex tasks, many UAVs are usually needed to cooperate with each other. Therefore, multi-UAV cooperative target search has attracted more scholars’ attention. At present, there bionic algorithms for solving problem multi-UAVs, including particle swarm optimization algorithm (PSO) dif...