Evolutionary multi-objective optimization on grid environments
Silviu Panica, Dana Petcu, Daniela Zaharie · International Conference on Parallel and Distributed Computing and Networks · 2008
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 problems with evolutionary algorithms. This framework allows an easy configuration for different application scenarios. Moreover, its basic components can be easily integrated in other frameworks.