caa a22 4500 463243668 CHVBK 20180405153319.0 cr unu---uuuuu 170326e20070901xx s 000 0 eng 10.1007/s00158-006-0071-5 doi (NATIONALLICENCE)springer-10.1007/s00158-006-0071-5 Global and well-distributed Pareto frontier by modified normalized normal constraint methods for bicriterion problems [Elektronische Daten] [M. Martínez, J. Sanchis, X. Blasco] 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 some of these possibilities, based on two types of techniques: those based on nonlinear optimization and those based on genetic algorithms. The first provides appropriate solutions at reasonable computational cost though they are highly dependent on the initial points and on the presence or absence of local minima. The second technique does not present such dependence although computational cost is higher. Since the construction of the Pareto frontier is usually off-line, that computational cost is not a restrictive factor. Goodness of the improvements proposed in the paper are shown with two bicriterion examples. Springer-Verlag Berlin Heidelberg, 2006 Pareto frontier nationallicence Multiobjective optimization nationallicence Nonlinear optimization nationallicence Genetic algorithms nationallicence Engineering design nationallicence Martínez M. Department of Systems Engineering and Control, Polytechnic University of Valencia, Valencia, Spain aut Sanchis J. Department of Systems Engineering and Control, Polytechnic University of Valencia, Valencia, Spain aut Blasco X. Department of Systems Engineering and Control, Polytechnic University of Valencia, Valencia, Spain aut Structural and Multidisciplinary Optimization Springer-Verlag 34/3(2007-09-01), 197-209 1615-147X 34:3<197 2007 34 158 https://doi.org/10.1007/s00158-006-0071-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00158-006-0071-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Martínez M. Department of Systems Engineering and Control, Polytechnic University of Valencia, Valencia, Spain aut NATIONALLICENCE 700 1- Sanchis J. Department of Systems Engineering and Control, Polytechnic University of Valencia, Valencia, Spain aut NATIONALLICENCE 700 1- Blasco X. Department of Systems Engineering and Control, Polytechnic University of Valencia, Valencia, Spain aut NATIONALLICENCE 773 0- Structural and Multidisciplinary Optimization Springer-Verlag 34/3(2007-09-01), 197-209 1615-147X 34:3<197 2007 34 158 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer