Variable Interaction in Multi-objective Optimization Problems

Ke Li, Mohammad Nabi Omidvar, Kalyanmoy Deb, Xin Yao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationParallel Problem Solving from Nature – PPSN XIV
Subtitle of host publication14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings
EditorsJulia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa, Ben Paechter
ISBN (Electronic)978-3319458236
ISBN (Print)978-3319458229
Publication statusE-pub ahead of print - 31 Aug 2016
Event14th International Conference on Parallel Problem Solving from Nature (PPSN) - Edinburgh, United Kingdom
Duration: 17 Sept 201621 Sept 2016

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th International Conference on Parallel Problem Solving from Nature (PPSN)
Country/TerritoryUnited Kingdom


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