TY - JOUR
T1 - Multiobjective optimization using ideas from the clonal selection principle
AU - Cortés, Nareli Cruz
AU - Coello Coello, Carlos A.
PY - 2003
Y1 - 2003
N2 - In this paper, we propose a new multiobjective optimization approach based on the clonal selection principle. Our approach is compared with respect to other evolutionary multiobjective optimization techniques that are representative of the state-of-the-art in the area. In our study, several test functions and metrics commonly adopted in evolutionary multiobjective optimization are used. Our results indicate that the use of an artificial immune system for multiobjective optimization is a viable alternative.
AB - In this paper, we propose a new multiobjective optimization approach based on the clonal selection principle. Our approach is compared with respect to other evolutionary multiobjective optimization techniques that are representative of the state-of-the-art in the area. In our study, several test functions and metrics commonly adopted in evolutionary multiobjective optimization are used. Our results indicate that the use of an artificial immune system for multiobjective optimization is a viable alternative.
UR - http://www.scopus.com/inward/record.url?scp=35248820637&partnerID=8YFLogxK
U2 - 10.1007/3-540-45105-6_22
DO - 10.1007/3-540-45105-6_22
M3 - Artículo
AN - SCOPUS:35248820637
SN - 0302-9743
VL - 2723
SP - 158
EP - 170
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -