Layout design of user interface components with multiple objectives | Zendy

S.K. Peer | Zendy; Dinesh K. Sharma | Zendy; K. Ravindranath | Zendy; M. M. Naidu | Zendy

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Layout design of user interface components with multiple objectives

Author(s) -

S.K. Peer,

Dinesh K. Sharma,

K. Ravindranath,

M. M. Naidu

Publication year - 2004

Publication title -

yugoslav journal of operations research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.221

H-Index - 21

eISSN - 1820-743X

pISSN - 0354-0243

DOI - 10.2298/yjor0402171p

Subject(s) - closeness , computer science , component (thermodynamics) , task (project management) , interface (matter) , quadratic equation , page layout , function (biology) , graphical user interface , user interface , data mining , mathematical optimization , mathematics , programming language , engineering , mathematical analysis , physics , geometry , systems engineering , bubble , maximum bubble pressure method , evolutionary biology , parallel computing , biology , advertising , business , thermodynamics

A multi-goal layout problem may be formulated as a Quadratic Assignment model, considering multiple goals (or factors), both qualitative and quantitative in the objective function. The facilities layout problem, in general, varies from the location and layout of facilities in manufacturing plant to the location and layout of textual and graphical user interface components in the human–computer interface. In this paper, we propose two alternate mathematical approaches to the single-objective layout model. The first one presents a multi-goal user interface component layout problem, considering the distance-weighted sum of congruent objectives of closeness relationships and the interactions. The second one considers the distance-weighted sum of congruent objectives of normalized weighted closeness relationships and normalized weighted interactions. The results of first approach are compared with that of an existing single objective model for example task under consideration. Then, the results of first approach and second approach of the proposed model are compared for the example task under consideration

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