Title :
Pareto Frontier Construction. A GA vs Gauss-Newton Optimization for Normalized Normal Constraint Method
Author :
Martinez, Miguel ; Garcia-Nieto, Sergio ; Sanchis, Javier ; Blasco, Xavier
Author_Institution :
Dept. of Syst. Eng. & Control, Polytech. Univ., Valencia
Abstract :
Important efforts have been made in the last years to develop methods for the construction of Pareto frontiers that guarantee uniform distribution and that exclude the non Pareto and local Pareto points. Nevertheless, these methods are susceptible of improvement or modifications to reach the same level of results more efficiently. This paper presents GA optimization as alternative for normalized normal constraint method. Moreover a compare between Gauss-Newton and GA methods is presented. The results presented in this paper show the suitable behavior of the GA method compared to classical Gauss-Newton methods
Keywords :
Newton method; Pareto distribution; Pareto optimisation; genetic algorithms; Gauss-Newton optimization method; Pareto frontier construction; genetic algorithm optimization; normalized normal constraint method; uniform Pareto distribution; Constraint optimization; Control engineering; Delta modulation; Design engineering; Design methodology; Design optimization; Least squares methods; Newton method; Pareto optimization; Recursive estimation;
Conference_Titel :
Intelligent Engineering Systems, 2006. INES '06. Proceedings. International Conference on
Conference_Location :
London
Print_ISBN :
0-7803-9708-8
DOI :
10.1109/INES.2006.1689366