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.
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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