Improved particle swarm optimization algorithm based novel encoding and decoding schemes for flexible job shop scheduling problem

标题
Improved particle swarm optimization algorithm based novel encoding and decoding schemes for flexible job shop scheduling problem
作者
关键词
Flexible job shop scheduling problem, Particle swarm optimization algorithm, Encoding and decoding schemes, Local search, Operations research
出版物
COMPUTERS & OPERATIONS RESEARCH
Volume 121, Issue -, Pages 104951
出版商
Elsevier BV
发表日期
2020-05-04
DOI
10.1016/j.cor.2020.104951

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

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