The Conception of the New Agent-Based Platform for Modeling and Implementation of Parallel Evolutionary Algorithms
Sara Sabba, Salim Chıkhı · International Journal of Intelligent Systems and Applications · 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.