Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
How to Solve It: Modern Heuristics
How to Solve It: Modern Heuristics
A hybrid genetic algorithm with pattern search for finding heavy atoms in protein crystals
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Graphs, Algorithms and Optimization
Graphs, Algorithms and Optimization
Optimizing hierarchical menus by genetic algorithm and simulated annealing
Proceedings of the 10th annual conference on Genetic and evolutionary computation
An empirical methodology for human integration in the SE technical processes
Systems Engineering
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Studies have established that computer user interface (UI) design is a primary contributor to people's experiences with modern technology; however, current UI development remains more art than quantifiable science. In this paper, we study the use of search algorithms to predict optimal display layouts early in system design. This has the potential to greatly reduce the cost and improve the quality of UI development. Specifically, we demonstrate a hybrid genetic algorithm and pattern search optimization process that makes use of human performance modeling to quantify known design principles. We show how this approach can be tailored by capturing contextual factors in order to properly seed and tune the genetic algorithm. Finally, we demonstrate the ability of this process to discover superior layouts as compared to manual qualitative methods.