Abstract
Spatial layout design application tools had become the in demand tools as the computational customization had become increasingly significant in this 21st century era. The users prefer to personalize their own space by customizing, modifying and planning based on their personal specification or preferences. However, these application tools usually highlighted the personal preferences without taking account on the universal design criteria that will cause some issues on the space utilization and security. Hence, this research paper had proposed the composition of objective functions for the user's customization and the universal design criteria with the incorporation of Genetic Algorithm (GA) operators to optimize the floor plan design. At the end of this research study, the optimization of spatial layout design using GA operators was proven to be able to design the fittest spatial layout design with 94% of fitness function value that almost satisfies the designated objective functions.
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