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: chikhi@umc.edu.dz
Website:
Research Interests: Computer systems and computational processes, Artificial Intelligence, Computer Architecture and Organization
Biography
Salim Chikhi has done his PhD in Computer Science from the University of Constantine, in 2005. He is currently a Professor at the Mentouri University, Constantine, Algeria. He is the Leader of the SCAL team of MISC Laboratory. His research areas include soft computing and artificial life techniques and their application in several domains.
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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