Abstract
It has been a long way since the first few pages where we started describing, and you as the reader got gradually exposed to, the concept of robustness and the main elements of robust discrete optimization. We hope that by now you, the reader, feel enlightened on the topic and intrigued by its challenges, but to be sincere, we, the authors, feel tired. But, we still feel we will not be doing justice to the topic, and definitely not serve our readers, if we do not write that final, the so typically called “Conclusion and Future Directions,” chapter. So here we are putting the last touches on a painting that stayed in our minds, and bothered our sleep, for the last three years.
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© 1997 Springer Science+Business Media Dordrecht
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Kouvelis, P., Yu, G. (1997). Robust Discrete Optimization: Past Successes and Future Challenges. In: Robust Discrete Optimization and Its Applications. Nonconvex Optimization and Its Applications, vol 14. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2620-6_9
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DOI: https://doi.org/10.1007/978-1-4757-2620-6_9
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4764-2
Online ISBN: 978-1-4757-2620-6
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