Swarms of intelligent rovers and spacecraft are being considered for a number of future NASA missions. These missions will provide NASA scientist and explorers greater flexibility and the chance to gather more science than traditional single spacecraft missions. These swarms of spacecraft are intended to operate for large periods of time without contact with the Earth. To do this, they must be ...

Dynamic economic load dispatch is one of the most important roles of power generation’s operation and control. It determines the optimal controls of production of generator units with predicted load demand over a certain period of time. Economic dispatch a subjects in the power network’s operation, which is a complicated nonlinear constrained optimization problem. Since dynamic economic load di...

Many heuristic-based approaches have been applied to finding schedules that minimize the execution time of computing tasks on parallel processors. Particle Swarm Optimization is currently employed in several optimization and search problems due its ease and ability to find solutions successfully. A variant of PSO, called as Improved PSO has been developed in this paper and is hybridized with th...

Clustering, one of the fundamental tasks in Datamining, is also challenging field of research. Clustering can be considered as an optimization problem as it minimizes inter cluster similarity and maximize intra cluster similarity. Clustering problem has been solved by different algorithms ranging from simple K-means to Bio-inspired Evolutionary algorithms. Swarm intelligence, an emerging Evolut...

Different models of self-organization processes are described from physical, information, and algorithmic (quantum computing) point of view. Role of quantum correlation types and information transport in self-organization of structure type design is discussed. A generalized quantum algorithm (QA) design of self-organization processes is developed. Particular case of this approach (based on earl...

A Sensor network is a network with large number of sensors in it. The broadcasting and the multicasting are the major communication approaches used in such network to distribute some information over the network or the network part. Because of this the congestion over the network increases. A congested network is the reason of different securities flaws over the network. One of such flaw is the...

In this paper, a hybrid swarm system is presented for time series forecasting. It consists of an intelligent hybrid model composed of an Arti cial Neural Network (ANN) and a Particle Swarm Optimizer (PSO), which search the relevant time lags for a correct characterization of the time series, as well as the number of processing units in the hidden layer, the training algorithm and the modeling o...

In this paper, Artificial Bee Colony (ABC) algorithm which inspired from the behavior of honey bees swarm is presented. ABC is a stochastic population-based evolutionary algorithm for problem solving. ABC algorithm, which is considered one of the most recently swarm intelligent techniques, is proposed to optimize least square support vector machine (LSSVM) to predict the daily stock prices. The...

Using robot manipulators for high accuracy applications require precise value of the kinematics parameters. Since measurement of kinematics parameters are usually associated with errors and accurate measurement of them is an expensive task, automatic calibration of robot link parameters makes the task of kinematics parameters determination much easier. In this paper a simple and easy to use alg...