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The 3-dimensional behaviour of masonry arches with point supports to the intrados (2006)
Presentation / Conference
Melbourne, C., & Wang, J. (2006, October). The 3-dimensional behaviour of masonry arches with point supports to the intrados. Presented at Seventh International Masonry Conference (7 IMC), The Institution of Civil Engineers, London

In the United Kingdom many existing masonry arch bridges have been subject to alteration and extension in order to continue to contribute to the transportation network. One type of alteration is the introduction of full-height longitudinal brickwork... Read More about The 3-dimensional behaviour of masonry arches with point supports to the intrados.

The future of permeable pavement systems (2006)
Presentation / Conference
Grabowiecki, P., & Scholz, M. (2006, September). The future of permeable pavement systems. Presented at 4th National Conference held by CIWEM and Aqua Enviro, Newcastle upon Tyne

Hydrocarbon removal with constructed treatment wetlands (2006)
Presentation / Conference
Eke, P., & Scholz, M. (2006, September). Hydrocarbon removal with constructed treatment wetlands. Presented at 4th National Conference held by CIWEM and Aqua Enviro, Newcastle upon Tyne

Water quality of the Shar Chi river (Iran) (2006)
Presentation / Conference
Nanbakhsh, H., & Scholz, M. (2006, September). Water quality of the Shar Chi river (Iran). Presented at 4th National Conference held by CIWEM and Aqua Enviro, Newcastle upon Tyne

Integration of trees into sustainable drainage systems (2006)
Presentation / Conference
Scholz, M., & Englmeier, M. (2006, September). Integration of trees into sustainable drainage systems. Presented at 4th National Conference held by CIWEM and Aqua Enviro, Newcastle upon Tyne

Model complexity vs. performance in the Bayesian Optimization Algorithm (2006)
Presentation / Conference
Correa, E., & Shapiro, J. (2006, September). Model complexity vs. performance in the Bayesian Optimization Algorithm. Presented at Parallel Problem Solving from Nature - PPSN IX, Reykjavik, Iceland

The Bayesian Optimization Algorithm (BOA) uses a Bayesian network to estimate the probability distribution of promising solutions to a given optimization problem. This distribution is then used to generate new candidate solutions. The objective is to... Read More about Model complexity vs. performance in the Bayesian Optimization Algorithm.