S. Panica, D. Petcu, and D. Zaharie (Romania)
Multi-objective optimization, evolutionary algorithms, Grid computing
The aim of this paper is to present the design principles and the implementation of a newly introduced Grid-based framework for solving multi-objective optimization pro blems with evolutionary algorithms. This framework allows an easy configuration for different application scenarios. Moreover, its basic components can be easily integrated in other frameworks.
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