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

Sara Sabba | Zendy; Salim Chıkhı | Zendy

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

Author(s) -

Sara Sabba,

Salim Chıkhı

Publication year - 2014

Publication title -

international journal of intelligent systems and applications

Language(s) - English

Resource type - Journals

eISSN - 2074-9058

pISSN - 2074-904X

DOI - 10.5815/ijisa.2014.04.02

Subject(s) - computer science , computation , range (aeronautics) , evolutionary algorithm , quality (philosophy) , evolutionary computation , algorithm , mathematical optimization , artificial intelligence , mathematics , philosophy , materials science , epistemology , composite material

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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