By Wai-Yin Ng (eds.)
This monograph stories the improvement of an method of computer-aided regulate method layout (CACSD). Of fundamental drawback is the standard of cooperation among the fashion designer and his machine. The fashion designer is advised to regard a CACSD challenge as a seek challenge, during which he and the pc cooperate to find passable designs between units of applicants. Interactive Multi-Objective Programming (IMOP) is hired to outline the extent of abstraction in addition to the association of the layout amenities within the computer.
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Additional resources for Interactive Multi-Objective Programming as a Framework for Computer-Aided Control System Design
Example text
Multivariable frequency domain design methods such as the Characteristic Locus Method [Mac 80] and the Quantitative Feedback Method [Hor 79] are of this class. Very often, a subset of the procedures may be reiterated to modify the design should it be unsatisfactory. The computer acts in a closer relationship with the designer than in the case of synthesis. It may be programmed to follow the series of structured procedures with the designer. It again automates the number crunching, but in addition, it also organises information to feedback to the designer.
The methods help the DM to evaluate the efficient solutions, learn about possibilities, and articulate his wishes more effectively. A basic observation of cognitive psychology is that humans have excellent pattern recognition capabilities and are always good at digesting visual data. Therefore, graphical displays of data complemented by textual information are accepted to be superior over purely textual display [Tuf 83]. In the trivial case of two performance indices when the efficient frontier is a curve in the index space, the best method is for the AN to display the curve graphicaUy and the DM to make his choice among 47 points in the visible frontier, Only the primal information is presented and the dual information can be readily perceived (fig.
3b) = min Fd2 (f(x), y) xEX where .. denotes the element-wise multiplication of vectors, ~v is an infeasible point and w is a vector of non-negative weights. ~,. T h e scalarizing parameters are either (i) elements of the vector of non-negative weights w = (w,, w = , . . ,y~')7" where y~'" = minx~ x f~(x) (fig. 3b). As for the distance function, the lv-norms Ilyllv = (yl', + yf + ' " ) 1 / ' , p = 1,0,~.... and the augmented norms (linear combinations of/1 - and l . -norms) are the common choices.
