# A metaheuristic methodology based on the limitation of the memory of interval branch and bound algorithms

## Author

Listed:
• Jordan Ninin

()

• Frédéric Messine

()

## Abstract

No abstract is available for this item.

## Suggested Citation

• Jordan Ninin & Frédéric Messine, 2011. "A metaheuristic methodology based on the limitation of the memory of interval branch and bound algorithms," Journal of Global Optimization, Springer, vol. 50(4), pages 629-644, August.
• Handle: RePEc:spr:jglopt:v:50:y:2011:i:4:p:629-644
DOI: 10.1007/s10898-010-9531-y
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File URL: http://hdl.handle.net/10.1007/s10898-010-9531-y

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## Citations

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Cited by:

1. Milan Hladík, 2016. "An extension of the $$\alpha \hbox {BB}$$ α BB -type underestimation to linear parametric Hessian matrices," Journal of Global Optimization, Springer, vol. 64(2), pages 217-231, February.
2. Bertrand Neveu & Gilles Trombettoni & Ignacio Araya, 2016. "Node selection strategies in interval Branch and Bound algorithms," Journal of Global Optimization, Springer, vol. 64(2), pages 289-304, February.
3. Ralph Kearfott, 2014. "On rigorous upper bounds to a global optimum," Journal of Global Optimization, Springer, vol. 59(2), pages 459-476, July.

### Keywords

Interval analysis; Branch and bound; Limited memory; Metaheuristic; Algorithmic complexity;

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