This book constitutes the refereed proceedings of the 9th International Conference on
Evolutionary Multi-Criterion Optimization EMO 2017 held in Münster Germany in March 2017. The
33 revised full papers presented together with 13 poster presentations were carefully reviewed
and selected from 72 submissions. The EMO 2017 aims to discuss all aspects of EMO development
and deployment including theoretical foundations constraint handling techniques preference
handling techniques handling of continuous combinatorial or mixed-integer problems local
search techniques hybrid approaches stopping criteria parallel EMO models performance
evaluation test functions and benchmark problems algorithm selection approaches
many-objective optimization large scale optimization real-world applications EMO algorithm
implementations.
