CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures
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Such a problem, in standard form, presents an objective function Z=f(x), of n variables x, to be
minimized and a system of linear equations and/or inequalities, on the same variables, which represent
the constraints and which define an admissible area for the solution.
The architectural organism is modelled as an assembly of parallelepiped shaped space entities or units,
provided with a certain number of "holes" that permit functional corresponding connection. The pursued
intent being optimal assembly.
The model, in its mathematical form, fits a standard Non-Linear M.P. (N.L.P.) problem, since the
objective function Z is non-linear and the constraints are represented by inequalities. In its graphic form it
reproduces an image of all the space units constituting the organism; moreover it is able to represent
these units, in their logical and physical individuality, and their mutual relationship, as well as the ones
with the external environment.
‘Expert knowledge’ provision has been made possible by the introduction
of hypertext, the advancement of the world wide web and the
development of large scale data-storage media. Much of the computer’s
value to the architects lies in its ability to assist in the evaluation of a range
of performance criteria. Without the help of a computer, architects are
faced with impossibly complex arrays of solutions. This paper illustrates
an evaluation tool for two factors which are important to the window
design. The two factors to be investigated in this paper are sunlighting and
views out of windows.
Sunlight is a quantitative factor that can theoretically be assessed by
some mathematical formulae provided there is sufficient information for
calculation but when total cumulative effects of insolation through the
different seasons is required, in addition to yearly figures, a design in
real-time evolution requires substantial computing power. Views out of
windows are qualitative and subjective. They present difficulties in
measurement by the use of conventional mathematical tools. These two
fields of impact in window design are explored to demonstrate how
computers can be used in assessing various options to produce optimal
design solutions. This paper explains the methodologies, theories and
principles underlying these evaluation tools. It also illustrates how an
evaluation tool can be used as a design tool during the design process.
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