TY - GEN
T1 - Variable Interaction in Multi-objective Optimization Problems
AU - Li, Ke
AU - Omidvar, Mohammad Nabi
AU - Deb, Kalyanmoy
AU - Yao, Xin
PY - 2016/8/31
Y1 - 2016/8/31
N2 - Variable interaction is an important aspect of a problem, which reflects its structure, and has implications on the design of efficient optimization algorithms. Although variable interaction has been widely studied in the global optimization community, it has rarely been explored in the multi-objective optimization literature. In this paper, we empirically and analytically study the variable interaction structures of some popular multi-objective benchmark problems. Our study uncovers nontrivial variable interaction structures for the ZDT and DTLZ benchmark problems which were thought to be either separable or non-separable.
AB - Variable interaction is an important aspect of a problem, which reflects its structure, and has implications on the design of efficient optimization algorithms. Although variable interaction has been widely studied in the global optimization community, it has rarely been explored in the multi-objective optimization literature. In this paper, we empirically and analytically study the variable interaction structures of some popular multi-objective benchmark problems. Our study uncovers nontrivial variable interaction structures for the ZDT and DTLZ benchmark problems which were thought to be either separable or non-separable.
UR - https://www.scopus.com/pages/publications/84988452275
U2 - 10.1007/978-3-319-45823-6_37
DO - 10.1007/978-3-319-45823-6_37
M3 - Conference contribution
SN - 978-3319458229
VL - 9921
T3 - Lecture Notes in Computer Science
SP - 399
EP - 409
BT - Parallel Problem Solving from Nature – PPSN XIV
A2 - Handl, Julia
A2 - Hart, Emma
A2 - Lewis, Peter R.
A2 - López-Ibáñez, Manuel
A2 - Ochoa, Gabriela
A2 - Paechter, Ben
PB - Springer
T2 - 14th International Conference on Parallel Problem Solving from Nature (PPSN)
Y2 - 17 September 2016 through 21 September 2016
ER -