2017/04/20 by Hamide Ozlem Dalgic, Dalgic, Hamide Ozlem, Erkan Bostancı +3
Engineering · #Advanced Manufacturing and Logistics Optimization #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Optimization and Packing Problems
paper · pdf · doi:10.48550/arxiv.1704.06016
openalex publication_date 2017/04/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.