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What textbook/articles would you use to introduce heuristics and meta-heuristics to OR students? Assume they have already seen some OR (e.g., LP and MILP).

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This will be opinion based, but I personally like "Handbook of meta heuristics" edited by Michel Gendreau and Jean-Yves Potvin. https://link.springer.com/book/10.1007/978-1-4419-1665-5

There is also "Metaheuristics for Business Analytics" if you are teaching business school students. https://www.springer.com/gp/book/9783319681177

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If you are looking for an introductory textbook, I think "Metaheuristics: From Design to Implementation" by El-Ghazali Talbi is a very good option as it covers various design ideas and issues as well as different metaheuristics.

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An introduction to several algorithms can also be found in "Stochastic Local Search - Foundations and Applications" by Holger Hoos and Thomas Stützle. It contains an overview of the main methods, analyses, and some applications.

https://www.sciencedirect.com/book/9781558608726/stochastic-local-search

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