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About Jistm 2016 01 09 03 PDF
This document summarizes a research paper that proposes using an artificial immune system approach called the clonal selection principle algorithm to solve flexible job-shop scheduling problems. The goal is to minimize completion time (makespan) and determine when the last job is finished. Flexible job-shop scheduling involves assigning a series of operations for multiple jobs to available machines, allowing operations to be processed on compatible machine subsets. Several artificial intelligence methods have been used for job-shop scheduling, including genetic algorithms and neural networks. The clonal selection principle algorithm mimics the natural immune system and has advantages like adaptability. The results of applying this method are promising compared to previous research on flexible job-shop scheduling.
Detailed Information
| Author: | ['A Shahrizal Muhamad'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 22 |
| Language: | English |
| Format: | |
| Price: | FREE |
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