A novel optimization algorithm, called accelerated particle swarm optimization (APSO), is proposed to be used for dynamic spectrum sensing in cognitive radio networks. While modified swarm-based optimization algorithms focus on slight variations of the standard mathematical formulas, in APSO, the acceleration variable of the particles is also considered in the search space. We show that the pro...

In optimizing the particle swarm optimization (PSO) that inevitable existence problem of prematurity and the local convergence, this paper base on this aspects is put forward a kind of modified particle swarm optimization algorithm, take the gradient descent method (BP algorithm) as a particle swarm operator embedded in particle swarm algorithm, and at the same time use to attenuation wall (Dam...

The dogleg severity is one of the most important parameters in directional drilling. Improvement of these indicators actually means choosing the best conditions for the directional drilling in order to reach the target point. Selection of high levels of the dogleg severity actually means minimizing well trajectory, but on the other hand, increases fatigue in drill string, increases torque and d...

A power system, under heavily loaded conditions, is at high risks of probable line outage and consequent voltage instability problem. Real power loss and voltage deviation minimization are reliable indicators of voltage security of power networks. This paper proposes a Particle Swarm Optimization (PSO) based optimal location and sizing of Static Var Compensator (SVC) to improve voltage stabilit...

A wireless sensor network is a collection of nodes ordered into a co-operative network. The nodes communicate wirelessly and frequently self-organize after being arranged in an ad hoc manner. In progress proposals for routing in sensor networks were optimize for the limited capabilities of the nodes and the application precise nature of the networks. Existing routing algorithms are not resource...

In this paper, a new approach is proposed for the optimum design of single-phase induction motor. By using the classical design equations and the evolutionary algorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Modified Particle Swarm Optimization (MPSO), a Single Phase Induction Motor (SPIM) was designed with the maximum efficiency. The Finite Element Method (FEM)...

in this paper, the unified power flow controller (upfc) is enhanced with a chaotic particle swarm optimization (cpso) damping controller in order to mitigate the low frequency oscillations (lfo) in a single machine infinite bus (smib) power system. the designed damping controller is an optimized lead-lag controller, which extracts the speed deviation of the generator rotor and generates the out...

The construction site layout (CSL) design presents a particularly interesting area of study because of its relatively high level of attention to usability qualities, in addition to common engineering objectives such as cost and performance. However, it is difficult combinatorial optimization problem for engineers. Swarm intelligence (SI) was very popular and widely used in many complex optimiza...

This paper presents a swarm intelligence based approach for optimal scheduling in sensor networks. Sensors are characterized by their transaction times and interdependencies. In the presence of interdependencies the problem of optimal scheduling to minimize the overall transaction/response time is modeled as a graph partitioning problem. Graph partitioning problem is a well known NPcomplete pro...

This paper studies the problem of dynamic Routing and Wavelength Assignment (RWA) in Wavelength Division Multiplexed (WDM) networks with the wavelength the continuity constraint applied. A hybrid algorithm using Particle Swarm Optimization (PSO), inspired by an Ant System (AS), is used. For the routing sub-problem, particles of the swarm use the tour building approach of AS together with the ex...