Work

An improved NSGA-III algorithm with adaptive mutation operator for Big Data optimization problems

Year: 2018

Type: article

Source: Future Generation Computer Systems

DOI: 10.1016/j.future.2018.06.008

Authors: Jiao-Hong Yi, Suash Deb, Junyu Dong, Amir H. Alavi, Gai-Ge Wang

Institutions: Qingdao University of Technology, Victoria University, Ocean University of China, University of Missouri, Jiangsu Normal University, Northeast Normal University, Jilin University, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University

Language: English

Topic: Advanced Multi-Objective Optimization Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, Ministry of Science and Technology, Taiwan

Awards: G1334863613, G4608838691, G5269698768, G5849733666, G8025905427

OpenAlex ID: W2808993793

FWCI: 16.87

Cites: 93

Cited by: 224

Related to: 10