Multi-objective biased randomised iterated greedy for robust permutation flow shop scheduling problem under disturbances
Author:
Affiliation:
1. Department of Mathematics, College of Science, University of Basrah, Basrah, Iraq;
2. Department of Mathematics, Faculty of Technology, University of Portsmouth, Portsmouth, Hampshire, UK
Publisher
Informa UK Limited
Subject
Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems
Link
https://www.tandfonline.com/doi/pdf/10.1080/01605682.2019.1630330
Reference35 articles.
1. Multi-objective Particle Swarm Optimisation for Robust Dynamic Scheduling in a Permutation Flow Shop
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4. Theory and Applications of Robust Optimization
5. Collet, P. & Rennard, J. (2007). Stochastic optimization algorithms. CoRR abs/0704.3780, arXiv.org/abs/0704.3780.
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