An Adaptative Reference Vector Based Evolutionary Algorithm for Many-Objective Optimization

Recent studies have shown difficulties in balancing convergence and diversity for many-objective optimization problems with various types of Pareto fronts. This paper proposes an adaptive reference vector based evolutionary algorithm for many-objective optimization, termed as ARVEA. The ARVEA develo...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Junhua Li, Guoyu Chen, Ming Li, Hao Chen
Format: Article
Language:English
Published: IEEE 2019-01-01
Subjects:
Many-objective optimization
evolutionary algorithm
convergence
diversity
reference vector
Online Access:https://ieeexplore.ieee.org/document/8737898/

Internet

https://ieeexplore.ieee.org/document/8737898/

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