TY - GEN
T1 - A local exploration tool for linear many objective optimization problems
AU - Cuate, Oliver
AU - Lara, Adriana
AU - Schutze, Oliver
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/21
Y1 - 2016/11/21
N2 - For the decision making process in real-world applications, multi-objective optimization plays an important role; also, increasing the number of objectives to optimize is so common that this case is specially named as many objective optimization. A main issue with such many objective optimization problems is that, due to space dimension, their solution sets (so-called Pareto sets) can not be computed or entirely approximated. In this paper we present a tool, Pareto Explorer, specifically adapted for a preference-based local exploration of solutions, to deal with linear many objective optimization problems. The Pareto Explorer is able to steer the search from a given solution considering user defined directions, or preferences along the (highly-dimensional) solution set-turning the decision making process more intuitive. We demonstrate the effectiveness of the the proposed method on some benchmark examples.
AB - For the decision making process in real-world applications, multi-objective optimization plays an important role; also, increasing the number of objectives to optimize is so common that this case is specially named as many objective optimization. A main issue with such many objective optimization problems is that, due to space dimension, their solution sets (so-called Pareto sets) can not be computed or entirely approximated. In this paper we present a tool, Pareto Explorer, specifically adapted for a preference-based local exploration of solutions, to deal with linear many objective optimization problems. The Pareto Explorer is able to steer the search from a given solution considering user defined directions, or preferences along the (highly-dimensional) solution set-turning the decision making process more intuitive. We demonstrate the effectiveness of the the proposed method on some benchmark examples.
UR - http://www.scopus.com/inward/record.url?scp=85006839834&partnerID=8YFLogxK
U2 - 10.1109/ICEEE.2016.7751261
DO - 10.1109/ICEEE.2016.7751261
M3 - Contribución a la conferencia
AN - SCOPUS:85006839834
T3 - 2016 13th International Conference on Electrical Engineering,Computing Science and Automatic Control, CCE 2016
BT - 2016 13th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2016
Y2 - 26 September 2016 through 30 September 2016
ER -