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Other Civil and Environmental Engineering

2014

Genetic Algorithms

Articles 1 - 2 of 2

Full-Text Articles in Computer Engineering

Evolutionary Computation And Case-Based Reasoning Interoperation In Iedss Through Gesconda, Miquel Sànchez-Marrè, Gibert Karina, Radha K. Vinayagam, Beatriz Sevilla-Villanueva Jun 2014

Evolutionary Computation And Case-Based Reasoning Interoperation In Iedss Through Gesconda, Miquel Sànchez-Marrè, Gibert Karina, Radha K. Vinayagam, Beatriz Sevilla-Villanueva

International Congress on Environmental Modelling and Software

Interoperability of Intelligent Environmental Decision Support Systems (IEDSS) is one open challenge in the IEDSS field. This paper shows the interoperability of Evolutionary Computation, concretely Genetic Algorithms (GA), and Case-Based Reasoning (CBR) in IEDSS through the GESCONDA tool. GESCONDA is a tool for the deployment of Intelligent Decision Support Systems. This interoperability has been tested with several domains with different purposes like classification tasks, predictive tasks, etc. In the paper, the application in one environmental domain is described and analysed. The experimentation results indicate that this interoperation of both methods can improve the results of the application of one single …


Using Genetic Algorithms To Fit Species And Habitat Parameters For Modelling The Effect Of Climate Change On Species Distributions With Stochastic Patch Occupancy Models, Gary Polhill, Alessandro Gimona Jun 2014

Using Genetic Algorithms To Fit Species And Habitat Parameters For Modelling The Effect Of Climate Change On Species Distributions With Stochastic Patch Occupancy Models, Gary Polhill, Alessandro Gimona

International Congress on Environmental Modelling and Software

Standard approaches to modelling the effect of climate change on species distributions model a direct link between climatic and other biophysical variables and species occupancy. Though these provide a reasonable estimate for the effects of climate change on species distributions in the future, there are a number of issues with these approaches that fail to account for dynamic landscape interactions. For example, the mass occupancy effect means that species may be observed in unsuitable habitat patches surrounding a well-populated area of highly suitable patches. Conversely, a highly suitable area may be too disconnected from other suitable patches to allow long-term …