期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2019
卷号：2240
页码：27-31
出版社：Newswood and International Association of Engineers
摘要：This paper considers the permutation flow shop
scheduling problem (PFSP) under stochastic processing time
and in the presence of different types of real-time events.
A multi-objective optimisation model and a novel predictivereactive
approach based Simulation-Particle Swarm Optimisation
algorithm is designed and adapted for this problem.
This algorithm hybridised the Monte-Carol Simulation (MCS)
technique with the Particle Swarm Optimaisation algorithm to
deal with the the stochastic behavior of the problem. Also, a
deterministic version of the benchmark set proposed by [1]
is adapted and used to test the aforementioned problem and
solution method. Furthermore, the survival analysis based on
the Kaplan-Meier estimator is used to analyse the behaviour of
stochastic and dynamic solutions.
