A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation
Published in arXiv (Cornell University) • Apr 12, 2019
NobleIDNI5P39W32R45S63
Authors:,,
Mingde Zhao
Hongwei Ge
Kai Zhang
Abstract
The infeasible parts of the objective space in difficult many-objective optimization problems cause trouble for evolutionary algorithms. This paper proposes a reference vector based algorithm which uses two interacting engines to adapt the reference vectors and to evolve the population towards the t...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!