Title :
Optimizing windows layout by applying a genetic algorithm
Author :
Trivedi, Nihar ; Lai, Wei ; Zhang, Zhongwei
Author_Institution :
PricewaterhouseCoopers LLP., Sydney, NSW, Australia
Abstract :
Most windows based systems leave the task of windows layout management to the user. This inadvertently tends to decrease the productivity of the user. This paper presents a genetic algorithm (GA) based approach to windows layout optimisation. A new shadow-based algorithm is proposed to remove the overlap from the windows and to compact the layout of the windows. The usefulness of this approach is illustrated in this paper with the samples of the generated layouts, the characteristic charts and possible enhancements in the future
Keywords :
genetic algorithms; human factors; user interfaces; charts; genetic algorithm; shadow-based algorithm; user interface; user productivity; windows layout optimization; Australia; Character generation; Data mining; Displays; Genetic algorithms; Information technology; Productivity; Technology management; User interfaces; Very large scale integration;
Conference_Titel :
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location :
Seoul
Print_ISBN :
0-7803-6657-3
DOI :
10.1109/CEC.2001.934423
