A Comparative Analysis of the Performance of Evolutionary Algorithms and Logit Models in Spatial Networks

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

Chapter 16 in Spatial Economic Science, 2000, pp 331-354 from Springer

Abstract: Abstract The analysis of complex networks has in recent years become an important research issue in spatial economics and regional science. An important methodological step forward in this context has been offered by synergetic theory and the relative dynamics concept of network evolution (see, for a review, Nijkamp and Reggiani 1998). These concepts have intensified the search for universal principles driving non-linear dynamic systems with a particular interest in methodological underpinnings and instruments. In modern research in this field a new class of models, based on bio-computing and artificial intelligence, has recently come to the fore. These new approaches demonstrated a high potential in modelling high-dimensional spatial networks.

Keywords: Genetic Algorithm; Logit Model; Evolutionary Algorithm; Transport Cost; Time Cost (search for similar items in EconPapers)
Date: 2000
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DOI: 10.1007/978-3-642-59787-9_16

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