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Tabu Search may be using Genetic Algorithms.

Genetic Algorithms may need many generations to get success so running at high performance is important for them. Tabu Search is for enhancement for avoiding local maximums and good with memory mechanism to get better success through the iterations. However, Tabu Search makes the algorithm slower as usual besides its benefits.

My question is:

Is there any research about when to use Tabu Search with Genetic Algorithms and when not?

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This paper presents a comparative study between two approaches toward solving flowshop scheduling problems, which was initially motivated by the large use of the flowshop production model in chemical process industries. Both approaches make use of heuristic techniques to build agents for an A-Teams architecture:

https://pdfs.semanticscholar.org/ca97/3ed6f8ecf35fb54ab593c2228c4af88be003.pdf

If you wish to learn about Neural Network then visit this Neural Network Tutorial.

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