Multi-objective Evolutionary Optimisation for Product Design and Manufacturing

2012 ◽  
Vol 32 (4) ◽  
Author(s):  
Ing. Mario Salmon
Author(s):  
Alessandro Giassi ◽  
Fouad Bennis ◽  
Jean-Jacques Maisonneuve

In the context of concurrent engineering, this paper presents a quite innovative approach to the collaborative optimisation process, which couples a multi-objective genetic algorithm with an asynchronous communication tool. To illustrate this methodology, three European companies’ collaboration on the optimisation of a ship hull is described. Our study demonstrates that when multi-objective optimisation is carried out in a distributed manner it can provide a powerful tool for concurrent product design.


Author(s):  
N. Chakraborti

An informal analysis is provided for the basic concepts associated with multi-objective optimization and the notion of Pareto-optimality, particularly in the context of genetic algorithms. A number of evolutionary algorithms developed for this purpose are also briefly introduced, and finally, a number of paradigm examples are presented from the materials and manufacturing sectors, where multi-objective genetic algorithms have been successfully utilized in the recent past.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 168226-168235
Author(s):  
Yinhe Wang ◽  
Meng Wei ◽  
Jiafu Su ◽  
Hongyuan Hu ◽  
Heng Wang

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