Systems, Man, and Cybernetics

 

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• [P310] EMO-based Architectural Room Floor Planning
  Author(s): Makoto Inoue, Hideyuki Takagi
  
  

  Abstract
  We propose a spatial plan generator based on our spatial planning algorithm and spatial growth rules, combine it with evolutionary multi-objective optimization, apply them to architectural room floor planning and make its support system, and evaluate the system. We also introduce a framework for combining the architectural room floor planning support system with an interactive evolutionary computation that will be used in the next step of our research. We run the system and evolve the generated room floor plans with four and six objectives, respectively, and monitor the convergence of each of these objectives. The results show that all objectives converged and a great variety of architectural room floor plans was produced. Some obtained plans surpassed an architect's expectation, which implies that this system is useful for not only beginners who need design support but also for architectural professionals.

  
   

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