Electroencephalogram (EEG) signal peak detection is widely used in clinical applications. The peak point can be detected using several approaches, including time, frequency, time-frequency, and nonlinear domains depending on various peak features from several models. However, there is no study that provides the importance of every peak feature in contributing to a good and generalized model. In...

In this paper, a novel distributed approach based on particle swarm optimization (PSO) has been proposed for distributed regression over sensor networks. Besides distributed data, the limitations of sensor nodes make doing regression more difficult. Conventional methods employ numerical optimization techniques such as gradient descent or Nelder-Mead Simplex algorithms in which the sensor nodes ...

Efficient multiprocessor scheduling is essentially the problem of allocating a set of computational jobs to a set of processors to minimize the overall execution time. The main issue is how jobs are partitioned in which total finishing time and waiting time is minimized. Minimization of these two criteria simultaneously, is a multi objective optimization problem. There are many variations of th...

Gyrator transform has been widely used for image encryption recently. For gyrator transform-based image encryption, the rotation angle used in the gyrator transform is one of the secret keys. In this paper, by analyzing the properties of the gyrator transform, an improved particle swarm optimization (PSO) algorithm was proposed to search the rotation angle in a single gyrator transform. Since t...

In this paper an improved coordinated aggregation-based particle swarm optimization (ICA-PSO) algorithm is introduced for solving the optimal economic load dispatch (ELD) problem in power systems. In the ICA-PSO algorithm each particle in the swarm retains a memory of its best position ever encountered, and is attracted only by other particles with better achievements than its own with the exce...

This paper shows an improved particle swarm optimization (PSO) to design a novel compact ultra wideband (UWB) filter. The filter consists of an only one-cell composite right and left handed-transmission line (CRLH-TL) resonator, stepped impedance (SI), and two spurlines. The one-cell CRLH-TL resonator has a compact size and forms a wide passband. An SI and two spurlines are employed to reject b...

يا هچروم يدنب هشوخ متيروگلا ياراد پ ا ار يددعتم ياهرتم هلمج زا ،نتشادرب هب طوبرم ياهرتماراپ نتشاذگ اه هداد ديد عاعش ، يم هك دشاب ريثات و دنراد متيروگلا ييارگمه و دركلمع رد يدايز اطخ و شيامزآ تروص هب لاومعم نييعت يم رگ د دن . شور هلاقم نيا رد ي رب ينتبم CLA-PSO 1 ي هتسسگ لدم كي هك PSO دشاب يم يارب قيبطت كيتاموتا پ ياهرتمارا يا هچروم يدنب هشوخ يم داهنشيپ ددرگ . روظنم هب گلا ساسا رب هك د...

The need for solving multi-modal optimization problems in high dimensions is pervasive in many practical applications. Particle swarm optimization (PSO) is attracting an ever-growing attention and more than ever it has foundmany application areas formany challenging optimization problems. It is, however, a known fact that PSO has a severe drawback in the update of its global best (gbest) partic...

The deformation of plastics during production and service means that retired parts often possess different mechanical states, this can directly affect not only the properties remanufactured parts, but also design remanufacturing process itself. In paper, we describe stress-strain relationship for remanufacturing, in particular cyclic by using particle swarm optimization (PSO) method to acquire ...