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Solving Fjssp With A Genetic Algorithm, Michael John Srouji
Solving Fjssp With A Genetic Algorithm, Michael John Srouji
Computer Science and Software Engineering
The Flexible Job Shop Scheduling Problem is an NP-Hard combinatorial problem. This paper aims to find a solution to this problem using genetic algorithms, and discuss the effectiveness of this. Initially, I did exploratory work on whether neural networks would be effective or not, and found a lot of trade offs between using neural networks and chromosome sequencing. In the end, I decided to use chromosome sequencing over neural networks, due to the scope of my problem being on a small scale rather than on a large scale.
Therefore, the genetic algorithm was implemented using chromosome sequencing. My chromosomes were …