Parallel genetic algorithm with social interaction for solving constrained global optimization problems

Author(s):  
Rodrigo Lisboa ◽  
Edson Koiti Yasojima ◽  
Rodrigo M. S. de Oliveira ◽  
Marco A. Florenzano Mollinetti ◽  
Otavio Noura Teixeira ◽  
...  
Author(s):  
Nurullah Yilmaz ◽  
Ahmet Sahiner

In this study, we deal with the nonlinear constrained global optimization problems. First, we introduce a new smooth exact penalty function for constrained optimization problems. We combine the exact penalty function with the auxiliary function in regard to constrained global optimization. We present a new auxiliary function approach and the adapted algorithm for solving  non-linear inequality constrained global optimization problems. Finally, we illustrate the efficiency of the algorithm on some numerical examples.


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