Enhancing MOEA/D with information feedback models for large-scale many-objective optimization

标题
Enhancing MOEA/D with information feedback models for large-scale many-objective optimization
作者
关键词
Benchmark, Decomposition, Evolutionary algorithms, Information feedback models, Many-objective, Multi-objective 0-1 knapsack problem
出版物
INFORMATION SCIENCES
Volume 522, Issue -, Pages 1-16
出版商
Elsevier BV
发表日期
2020-02-26
DOI
10.1016/j.ins.2020.02.066

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started