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Improved Chaotic Algorithm-Based Optimization Technology of Architectural Engineering Drawing Parameters.

Xiaoqiu Ma1

  • 1Department of Basic Science, Jilin Jianzhu University, Changchun 130000, China.

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This summary is machine-generated.

This study introduces an improved chaotic algorithm for optimizing architectural engineering drawing (AED) parameters, significantly reducing processing time and enhancing precision for better building designs.

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Area of Science:

  • Engineering
  • Computer Science
  • Architecture

Background:

  • Traditional methods for architectural engineering drawings (AEDs) suffer from high time and space complexity, leading to long search times and suboptimal results.
  • Existing approaches struggle with large datasets and complex parameter optimization in architectural design.

Purpose of the Study:

  • To propose an optimized method for architectural engineering drawing parameters using an improved chaotic algorithm.
  • To enhance the efficiency and accuracy of parameter optimization in architectural designs.

Main Methods:

  • Development of an optimization model for AED parameters.
  • Implementation of an improved chaotic algorithm for parameter optimization.
  • Construction of a visual parameter optimization environment for architectural engineering drawings.

Main Results:

  • Significant reduction in optimization time compared to traditional methods.
  • Improved lighting illumination in building designs.
  • Enhanced optimization precision for architectural engineering drawing parameters.

Conclusions:

  • The proposed improved chaotic algorithm offers an effective solution for optimizing AED parameters.
  • The method demonstrates a greater application ability in architectural designs by considering multiple parameters.
  • This approach leads to more efficient and precise architectural design processes.