Helena Bahrami

Work place: Dept. of Electronic, Computer and IT, Qazvin Azad University, Qazvin, Iran

E-mail: bahramihelena@yahoo.com

Website:

Research Interests: Evolutionary Computation, Neural Networks, Image Compression, Image Manipulation, Computer Networks, Image Processing, Data Structures and Algorithms

Biography

Helena Bahrami was born in Tehran, Iran. She received her B. Sc. degree in Computer Engineering (Software) from Shahrake Ghods Islamic Azad 2006. Now she is student in M. Sc. degrees in Computer Engineering from Qazvin Islamic Azad University.

Her research interests are in Evolutionary Algorithms Image Processing,NeuralNetworks.

Author Articles
Imperialist Competitive Algorithm with Adaptive Colonies Movement

By Helena Bahrami Marjan Abdechiri Mohammad Reza Meybodi

DOI: https://doi.org/10.5815/ijisa.2012.02.06, Pub. Date: 8 Mar. 2012

The novel Imperialist Competitive Algorithm (ICA) that was recently introduced has a good performance in some optimization problems. The ICA inspired by socio-political process of imperialistic competition of human being in the real world. In this paper, a new Imperialist Competitive Algorithm with Adaptive Radius of Colonies movement (ICAR) is proposed. In the proposed algorithm, for an effective search, the Absorption Policy changed dynamically to adapt the radius of colonies movement towards imperialist’s position. The ICA is easily stuck into a local optimum when solves high-dimensional multi-modal numerical optimization problems. To overcome this shortcoming, we use probabilistic model that utilize the information of colonies positions to balance the exploration and exploitation abilities of the Imperialist Competitive Algorithm. Using this mechanism, ICA exploration capability will enhance. Some famous unconstraint benchmark functions used to test the ICAR performance. Simulation results show this strategy can improve the performance of the ICA algorithm significantly.

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