scholarly journals A comparative study of genetic algorithms for the multi-objective optimization of composite stringers under compression loads

2013 ◽  
Vol 47 ◽  
pp. 130-136 ◽  
Author(s):  
P. Badalló ◽  
D. Trias ◽  
L. Marín ◽  
J.A. Mayugo
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.


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