Evolutionary Algorithms for Modelling Interregional Transport Flows

Aura Reggiani (), Peter Nijkamp and Enrico Sabella
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Enrico Sabella: University of Bologna

Chapter 8 in Regional Competition, 2000, pp 159-185 from Springer

Abstract: Abstract This paper highlights the research potential of Evolutionary Algorithms (EAs) in the light of their applicability to spatial-economic systems, particularly as far as they apply to interregional freight transport. Seen from this perspective, the first part of the paper is devoted to a concise overview and illustration of EAs, as well as a comparison of EAs with other recent analysis tools emerging from bio-computing, such as Neural Networks (NNs).

Keywords: Genetic Algorithm; Root Mean Square Error; Mean Square Error; Evolutionary Algorithm; Neural Network Model (search for similar items in EconPapers)
Date: 2000
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DOI: 10.1007/978-3-662-04234-2_8

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