Abstract
In this paper, we provide a review of indicator based multi-objective evolutionary algorithms (IBEAs). 1) A taxonomy that classifies IBEAs into two categories has been given, including volume-based IBEAs and distance-based IBEAs; 2) The characteristics of IBEAs have been discussed in detail based on the calculation process of different indicators; and 3) Some future research directions on IBEAs have been put forward.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Paper version not known
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
