Job Shop scheduling problem has significant importance in many researching fields such as production management and programming and also combined optimizing. Job Shop scheduling problem includes two sub-problems: machine assignment and sequence operation performing. In this paper combination of particle swarm optimization algorithm (PSO) and gravitational search algorithm (GSA) have been presen...

To detect defects in woven fabric a reduced coefficient fabric space is constructed, for which the principal components representing row and column wise data distribution of the training fabric sub images are determined with the help of a novel singular value decomposition based method. The size of this reduced coefficient fabric space is suitably optimized by particle swarm optimization method...

For the problems brought by malicious interference in unmanned aerial vehicle (UAV) swarm network, we establish a cluster-based UAV information transmission model. We mainly consider four aspects: cluster head selection, channel allocation, power allocation and position. In order to improve backhaul rate of swarm, propose joint optimization method spectrum resource with goal maximizing sum thro...

Like many wireless systems, Orthogonal Frequency Division Multiplexing (OFDM) needs proper allocation of limited resources such as total transmit power and available frequency bandwidth among the users to meet their service requirements. In this paper, different versions of two evolutionary approaches, Differential Evolution (DE) and Particle Swarm Optimization (PSO) have been applied for adapt...

This papers studies methods to improve the cryptographic quality of random or pseudorandom sequences by modifying the order of the original sequence. A new algorithm Cryshu is suggested, which produces its shuffled output data at the rate of the input data. 1 Cryptographic Aspects of Shuffling Random and Pseudorandom Sequences A deck of cards is shuffled to arrange the cards in a random sequenc...

In the present study, in order to predict the activity coefficient of inorganic ions, 12 cases of aqueous chloride solution were considered (AClx=1,2; A=Li, Na, K, Rb, Mg, Ca, Ba, Mn, Fe, Co, Ni). For this study, the UNIQUAC thermodynamic model is desired and its adjustable parameters are optimized with the Genetic + PSO algorithm. The optimization of the UNIQUAC model with PSO+ genetic algorit...

in this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classifypatterns of different classes in the feature space. the introduced mutation operators and chaotic sequences allows us to overcomethe problem of early convergence into a local minima associated with particle swarm optimization algorithms. that is, the mutationope...

Artificial Neural Networks (ANN) techniques, mostly Back-Propagation Neural Network (BPNN) algorithm has been used as a tool for recognizing a mapping function among a known set of input and output examples. These networks can be trained with gradient descent back propagation. The algorithm is not definite in finding the global minimum of the error function since gradient descent may get stuck ...

restructuring the recent developments in the power system and problems arising from construction as well as the maintenance of large power plants lead to increase in using the distributed generation (dg) resources. dg units due to its specifications, technology and location network connectivity can improve system and load point reliability indices. in this paper, the allocation and sizing of di...