Hybrid Evolutionary Algorithm applied to Automated Floor Plan Generation. (September 2019)

• Record Type: Journal Article
• Authors: Nisztuk, Maciej; Myszkowski, Paweł B.
• Is Part Of: International journal of architectural computing. Volume 17:Number 3(2019)
• Page Start: 260
• Page End: 283
• Publication Date: 2019-09
• Subjects: Computer-Aided Architectural Design -- optimization in CAAD -- Automated Floor Plan Generation -- Hybrid Evolutionary Algorithm -- optimization -- benchmark; Architecture -- Data processing -- Periodicals; Architecture -- Informatique -- Périodiques; Virtual reality in architecture -- Periodicals; Computer-aided design -- Periodicals; Architecture -- Data processing; Periodicals; 720.2840285536
• DOI: 10.1177/1478077119832982
• Languages: English
• ISSNs: 1478-0771

Abstract

The article presents the application of Hybrid Evolutionary and Greedy-based algorithms to the problem of Automated Floor Plan Generation. The described optimization issue is part of a wider domain of Computer-Aided Architectural Design. The article covers the extensive description of the representation domain model (architectural canonical guidelines, user design requirements and constraints) and the explanation of proposed approach: problem representation, genetic algorithm operators, and fitness function definition. The research experimental procedures are based on real-world data: the architectural design guidelines being the design constraints and five real-world functional programs introduced and proposed as benchmarks. The article summarizes the implementation of the proposed approach, compares the Hybrid Evolutionary Algorithm experimental results with the Greedy-based algorithm, and suggests possible extensions and future research directions.