In the context of concurrent engineering, this paper presents a quite innovative approach to the collaborative optimization process, which couples a multi-objective genetic algorithm with an asynchronous communication tool. This optimization method allows the collaborative and multi-sites design to be performed without requiring significant investments or changes in the company organization. To illustrate this methodology, the collaboration of three European companies on the optimization of a ship hull is described. The hull shape is automatically optimised distributing the elements of the optimization loop among three distant sites. Our study demonstrates that when multi-objective optimization is carried out in a distributed manner it can provide a powerful tool for concurrent product design.
Multi-Objective Optimization Using Asynchronous Distributed Applications
Contributed by the Design Automation Committee for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received July 2003; rev. Feb. 2004. Associate Editor: G. Fadel.
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Giassi, A., Bennis, F., and Maisonneuve, J. (October 28, 2004). "Multi-Objective Optimization Using Asynchronous Distributed Applications ." ASME. J. Mech. Des. September 2004; 126(5): 767–774. https://doi.org/10.1115/1.1767817
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