Jehad Ababneh - Academia.edu (original) (raw)

Papers by Jehad Ababneh

IET Renewable Power Generation

International Journal of Intelligent Computing and Cybernetics, Mar 9, 2015

Purpose – The purpose of this paper is to propose an algorithm that combines the particle swarm o... more Purpose – The purpose of this paper is to propose an algorithm that combines the particle swarm optimization (PSO) with the biogeography-based optimization (BBO) algorithm. Design/methodology/approach – The BBO and the PSO algorithms are jointly used in to order to combine the advantages of both algorithms. The efficiency of the proposed algorithm is tested using some selected standard benchmark functions. The performance of the proposed algorithm is compared with that of the differential evolutionary (DE), genetic algorithm (GA), PSO, BBO, blended BBO and hybrid BBO-DE algorithms. Findings – Experimental results indicate that the proposed algorithm outperforms the BBO, PSO, DE, GA, and the blended BBO algorithms and has comparable performance to that of the hybrid BBO-DE algorithm. However, the proposed algorithm is simpler than the BBO-DE algorithm since the PSO does not have complex operations such as mutation and crossover used in the DE algorithm. Originality/value – The proposed algorithm is a generic algorithm that can be used to efficiently solve optimization problems similar to that solved using other popular evolutionary algorithms but with better performance.

Proceedings the Twenty Ninth Southeastern Symposium on System Theory, Mar 8, 1997

The sensitivity to initial conditions and orbit complexity which characterize chaotic systems giv... more The sensitivity to initial conditions and orbit complexity which characterize chaotic systems give them a great flexibility to control as compared to non chaotic systems. The motion of chaotic dynamical systems can be converted to periodic motion through small time dependent perturbations, which is a technique developed by Edward Ott, Celso Grebogi, and James York in 1990, known as the

Int. Conference on Artificial Neural Networks, 2010

Independent Component Analysis (ICA) is a statistical computation method that transforms a random... more Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distributions are usually unknown, the final problem is reduced to an optimization of a contrast function, a function that measures the independence of the components. In this paper, the stochastic global Particle Swarm Optimization (PSO) algorithm

Lecture Notes in Computer Science, 2011

ABSTRACT

Proceedings The Twenty-Ninth Southeastern Symposium on System Theory, 1997

International Journal of Modelling and Simulation, 2008

This paper presents simple lumped element equivalent circuit for the coplanar waveguide (CPW) squ... more This paper presents simple lumped element equivalent circuit for the coplanar waveguide (CPW) square spiral inductor. The circuit is based on physical modelling which takes into consideration the parasitic effects inherent in the CPW spiral inductor. The obtained scattering parameters are in good agreement with fullwave and quasi-static results available in the literature. Such a simple circuit model is suitable for computer aided design (CAD)

2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications, 2010

Space division multiple access aided orthogonal frequency division multiplexing (SDMA-OFDM) is a ... more Space division multiple access aided orthogonal frequency division multiplexing (SDMA-OFDM) is a promising technique for high data rate future wireless communications. In this paper, a minimum bit error rate (MBER) differential evolution (DE) algorithm based multiuser detector (MUD) for SDMA-OFDM system is proposed. The proposed algorithm directly minimizes the bit error rate (BER) cost function by selecting the optimum weight

International Journal of RF and Microwave Computer-Aided Engineering, 2005

A lumped-element circuit is proposed to model a coplanar waveguide (CPW) interdigital capacitor (... more A lumped-element circuit is proposed to model a coplanar waveguide (CPW) interdigital capacitor (IDC). Closed-form expressions suitable for CAD purposes are given for each element in the circuit. The obtained results for the series capacitance are in good agreement with those available in the literature. In addition, the scattering parameters obtained from the circuit model are compared with those obtained using the full-wave method of moments (MoM) and good agreement is obtained. Moreover, a multilayer feed-forward artificial neural network (ANN) is developed to model the capacitance of the CPW IDC. It is shown that the developed ANN has successfully learned the required task of evaluating the capacitance of the IDC.

IEEE Transactions on Electron Devices, 2000

A simple, accurate, and fast multilayer feedforward artificial neural network (ANN) model for qua... more A simple, accurate, and fast multilayer feedforward artificial neural network (ANN) model for quantum-dot semiconductor optical amplifiers (QD-SOAs) is developed. The developed ANN model has demonstrated excellent precision and accurately models the physical characteristics of QD-SOAs such as pulse amplification and four-wave mixing characteristics. Furthermore, the developed ANN model requires a very small computational time compared with numerical models, which is very attractive for computer-aided-design applications. The model is used to create very interesting design curves for QD-SOAs. In addition, the model is suitable for physical-parameter extraction from available measured data.

Electromagnetics, 2006

... DOI: 10.1080/02726340600872948 Mohammed Hussein Bataineh a &amp;amp;amp; Jehad Ismail... more ... DOI: 10.1080/02726340600872948 Mohammed Hussein Bataineh a &amp;amp;amp; Jehad Ismail Ababneh b pages 531-541. ... Notes. a Normalized with respect to the edge element. a Normalized with respect to λ/2. REFERENCES. 1. Ababneh, J., Khodier, M. and Dib, N. 2006. ...

The design of N t -section matching transformer operating at N t arbitrary frequencies using the ... more The design of N t -section matching transformer operating at N t arbitrary frequencies using the particle swarm optimization (PSO) method is presented. Although analytical methods based on standard transmission line theory can be used in such designs, however, the analysis becomes cumbersome if N t exceeds two, and numerical methods should be used to solve the resulting nonlinear equations. The design using the PSO, however, is much easier, and gives the same results as the analytical methods. Different examples are presented and compared with published literature.

Digital Signal Processing, 2008

In this paper, a linear phase FIR filter is designed using particle swarm optimization (PSO) and ... more In this paper, a linear phase FIR filter is designed using particle swarm optimization (PSO) and genetic algorithms (GA). Two design cases are considered. In the first case, the filter length, passband and stopband frequencies, and the ratio of the passband and stopband ripples size are specified. In the second case, a feasible passband and stopband ripples size in addition to the other three filter specifications are specified. The later situation is not explicitly considered by the Parks-McClellan (PM) algorithm. Furthermore, the PSO and the GA are used to design optimum FIR filters for which the filter coefficients are represented using finite word length. In all cases, the design goal is successfully achieved using the PSO and compared with that obtained using the GA. For the problem at hand, it is found that the PSO outperforms the GA in some of the presented design cases.

International Journal of RF and Microwave Computer-Aided Engineering, 2006

This article reports on the use of the particle swarm optimization (PSO) algorithm in the synthes... more This article reports on the use of the particle swarm optimization (PSO) algorithm in the synthesis of the planar interdigital capacitor (IDC). The PSO algorithm is used to optimize the geometry parameters of the IDC in order to obtain a certain capacitance value. The capacitance value of the IDC is evaluated using an artificial neural network (ANN) model with the geometry parameters of the IDC as its inputs. Several design examples are presented that illustrate the use of the PSO algorithm, and the design goal in each example is easily achieved. Full-wave electromagnetic simulations are also performed for some of the studied IDC structures implemented using coplanar waveguide (CPW) technology. The simulation results are in good agreement with those obtained using the ANN/PSO algorithm.