Sara Sabba

Work place: Department of Fundamental Computing and its Applications, Faculty of New Technologies of Information and Communication, MISC Laboratory, Constantine 2 University, Algeria

E-mail: sara.sabba@umc.edu.dz

Website:

Research Interests: Combinatorial Optimization

Biography

Sara Sabba received her Master's degree from Mentouri University of Constantine, Algeria in 2009 and she is a PhD student from the year 2010 in Mentouri University of Constantine, Algeria. Her current research interests include optimization methods and their applications to solve several combinatorial optimization problems.

Author Articles
The Conception of the New Agent-Based Platform for Modeling and Implementation of Parallel Evolutionary Algorithms

By Sara Sabba Salim Chikhi

DOI: https://doi.org/10.5815/ijisa.2014.04.02, Pub. Date: 8 Mar. 2014

Evolutionary algorithms (EAs) are a range of problem-solving techniques based on mechanisms inspired by biological evolution. Nowadays, EAs have proven their ability and effectiveness to solve combinatorial problems. However, these methods require a considerable time of calculation. To overcome this problem, several parallelization strategies have been proposed in the literature. In this paper, we present a new parallel agent-based EC framework for solving numerical optimization problems in order to optimize computation time and solutions quality.

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