Digital Architectural Design Model Based on Morpheme Concentration State Space Filtering

Abstract

Stress points and nodes structure of all kinds of plants are analyzed. According to the connection between the mechanism of plant growth and the generating mechanism of building, parametric design can be applied to the architectural design scheme optimization and structure analysis phase. A digital architectural design model is proposed based on morpheme concentration state space filtering. Plant growth algorithm is combined to search the way of the global optimal solution and the cooperative mechanism on plant growth. Through the random number in concentration state space of morpheme before choosing the new growing point, according to the size of morpheme and satisfies the requirement of precision, replacing part of the growing points with low concentration of morpheme. Then recalculate the concentration and form the condensed state space. And then the generated random numbers by new state space are used to choose a new growing point in continue iterative calculation. Simulations show that compared with standard algorithm, the proposed improved plant growth algorithm has better optimization results, and improves the search efficiency obviously.