Distributed databases principles and systems
Distributed databases principles and systems
Job lateness in a two-machine flowshop with setup times separated
Computers and Operations Research
A new branch and bound algorithm for minimizing mean tardiness in two-machine flowshops
Computers and Operations Research
Correctness of query execution strategies in distributed databases
ACM Transactions on Database Systems (TODS)
Fundamentals of Database Systems
Fundamentals of Database Systems
Computers and Operations Research
Deciding to Correct Distributed Query Processing
IEEE Transactions on Knowledge and Data Engineering
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Comparison between Genetic Algorithms and Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Computers and Operations Research
Optimization Algorithms for Distributed Queries
IEEE Transactions on Software Engineering
PSO Combined with ILS for Flowshop-Based Parallel Task Assignment Problem
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Applying the linear particle swarm optimization to a serial multi-echelon inventory model
Expert Systems with Applications: An International Journal
Cloud theory-based simulated annealing approach for scheduling in the two-stage assembly flowshop
Advances in Engineering Software
Expert Systems with Applications: An International Journal
Assembly flowshop scheduling problem to minimize total tardiness
AMERICAN-MATH'12/CEA'12 Proceedings of the 6th WSEAS international conference on Computer Engineering and Applications, and Proceedings of the 2012 American conference on Applied Mathematics
Solving two-machine assembly scheduling problems with inventory constraints
Computers and Industrial Engineering
A hybrid network intrusion detection system using simplified swarm optimization (SSO)
Applied Soft Computing
Minimizing the total completion time in a distributed two stage assembly system with setup times
Computers and Operations Research
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The assembly flowshop scheduling problem has been addressed recently in the literature. There are many problems that can be modeled as assembly flowshop scheduling problems including queries scheduling on distributed database systems and computer manufacturing. The problem has been addressed with respect to either makespan or total completion time criterion in the literature. In this paper, we address the problem with respect to a due date-based performance measure, i.e., maximum lateness. We formulate the problem and obtain a dominance relation. Moreover, we propose three heuristics for the problem: particle swarm optimization (PSO), Tabu search, and EDD. PSO has been used in the areas of function optimization, artificial neural network training, and fuzzy system control in the literature. In this paper, we show how it can be used for scheduling problems. We have conducted extensive computational experiments to compare the three heuristics along with a random solution. The computational analysis indicates that Tabu outperforms the others for the case when the due dates range is relatively wide. It also indicates that the PSO significantly outperforms the others for difficult problems, i.e., tight due dates. Moreover, for difficult problems, the developed dominance relation helps reduce error by 65%.