Abstract
In our previous studies, various optimization methods, such as dynamic programming and neural network, are applied to architectural space-planning problems. As a result, it is realized that the sequential linear programming (SLP) method is superior to others. But because passages are not considered in these studies, several problems are occured in optimal allocations. In this paper, assuming that the passage is one room whose size are variables, the space-planning problem with passages is formulated as an optimization problem. Numerical examples of clinic space planning are optimally designed by the SLP with discussion on practicability of the design results.