A Multi-Objective Variable-Scale Evolutionary Strategy Method for Carbon-Efficient Scheduling of Distributed Heterogeneous Flowshop
Author:
Affiliation:
1. School of Mechatronic Engineering and Automation, Shanghai University,Shanghai,200072
2. National Key Laboratory of Agricultural Equipment Technology,Beijing,100000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240508.pdf?arnumber=10240508
Reference12 articles.
1. An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time
2. A competitive memetic algorithm for carbon-efficent scheduling of distributed flowshop;deng;2016 international conference on intelligent computing,0
3. Evolving better population distribution and exploration in evolutionary multi-objective optimization
4. An evolution strategy approach for the distributed permutation flowshop scheduling problem with sequence-dependent setup times
5. A review of energy-efficient scheduling in intelligent production systems
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