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...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Junhua Li, Guoyu Chen, Ming Li, Hao Chen
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2019-01-01
Saila:	IEEE Access
Gaiak:	Many-objective optimization evolutionary algorithm convergence diversity reference vector
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/8737898/
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!