An improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals

Title
An improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals
Authors
Keywords
-
Journal
Swarm and Evolutionary Computation
Volume 51, Issue -, Pages 100594
Publisher
Elsevier BV
Online
2019-10-18
DOI
10.1016/j.swevo.2019.100594

Ask authors/readers for more resources

Find the ideal target journal for your manuscript

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

Search

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now