A Multi-objective Optimizing Method in Urban Design Using MOEA
Yuan Lei
Feng Jintao
Xu Xuesong
Abstract：This paper focuses on solving the ubiquitous disjunction between the performance evaluation and morphological design optimization for urban design with multi-physical criteria, and proposes an integrated and optimized design method for this purpose. The article explains the basic principles of this method, which is for both the design optimization and environmental performance optimization to be managed between regional planning and urban design via a two-stage workflow. The core of the method is a simulation-based optimizing engine using the multi-objective evolutionary algorithm (MOEA) to drive the optimization process and thereby achieve integrated prediction and optimization processes at the process level and multi-objective performance optimization simultaneously at the factor level. Using some examples, the article shows how the method works in two aspects of regional planning and urban design, and validates the effectiveness of the method and its efficiency in optimizing designs.
Keywords：urban designenvironmental performancesmulti-objective optimizing algorithmnumerical simulationautomatic generation
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 41-45 )