Abstract
The space allocation problem is an optimization problem that involves allocating resources or objects to different spaces or locations subject to certain constraints. The space allocation problem has applications in many fields, including logistics, transportation, manufacturing and urban planning. Solving this problem can help businesses and organizations make informed decisions about resource allocation, minimize transportation costs, and improve the efficiency of their operations. This systematic literature review (SRL) examines the problem of space allocation and the various methods used to solve it. The Kitchenham method is used in order to select relevant 24 unique research papers from 231 articles published in the period 3rd January 2018 to 4th October 2022. Each study can address several different methods and the meta-heuristic algorithms are found widely used, and the Genetic Algorithm (GA) occupies a leading position among others. 7 publications out of 12 that used metaheuristic algorithm as solution of space allocation problem include GA. In addition, this work identifies and analyzes objectives and considerations of research papers. The SRL concludes by providing some recommendations for future research in this area. It is hoped that this review will be of value to researchers and practitioners in a range of fields who are interested in the problem of space allocation and its solution.
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