  Genetic Algorithms are widely used in many different optimization problems
including layout design. The layout of the shelves play an important role in
the total sales metrics for superstores since this affects the customers'
shopping behaviour. This paper employed a genetic algorithm based approach to
design shelf layout of superstores. The layout design problem was tackled by
using a novel chromosome representation which takes many different parameters
to prevent dead-ends and improve shelf visibility into consideration. Results
show that the approach can produce reasonably good layout designs in very short
amounts of time.
