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Heuristic estimates in shortest path algorithms

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  • Pijls, W.H.L.M.

Abstract

Shortest path problems occupy an important position in Operations Research as well as in Arti¯cial Intelligence. In this paper we study shortest path algorithms that exploit heuristic estimates. The well-known algorithms are put into one framework. Besides we present an interesting application of binary numbers in the shortest path theory.

Suggested Citation

  • Pijls, W.H.L.M., 2006. "Heuristic estimates in shortest path algorithms," Econometric Institute Research Papers EI 2006-40, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    • Handle: RePEc:ems:eureir:8034
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    File URL: https://repub.eur.nl/pub/8034/ei2006-40.pdf
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    References listed on IDEAS

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    1. Post, H. & Pijls, W.H.L.M., 2006. "Bidirectional A*: comparing balanced and symmetric heuristic methods," Econometric Institute Research Papers EI 2006-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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