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

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

Автор: Sara Sabba, Salim Chikhi

Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa

Статья в выпуске: 4 vol.6, 2014 года.

Бесплатный доступ

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.

Evolutionary Algorithm, Combinatorial Problems, Agent-Based Software, Ontology, Parallelization Strategies, JADE Framework

Короткий адрес: https://sciup.org/15010545

IDR: 15010545

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