Building with paradisEO reusable parallel and distributed evolutionary algorithms
Parallel Computing - Special issue: Parallel and nature-inspired computational paradigms and applications
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
Evolutionary Computation
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
Grid computing for parallel bioinspired algorithms
Journal of Parallel and Distributed Computing - Special issue on parallel bioinspired algorithms
Multi-Objective Optimization using Grid Computing
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Automatic generated clients of grid services for computational fluid dynamics
MATH'06 Proceedings of the 10th WSEAS International Conference on APPLIED MATHEMATICS
Parallelism and evolutionary algorithms
IEEE Transactions on Evolutionary Computation
GridMOSI VO: a grid enabled research infrastructure in modelling, simulation and optimisation
VIS'08 Proceedings of the 1st WSEAS international conference on Visualization, imaging and simulation
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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.