OPTIMIZING PLAN AND OBTAINING KNOW-HOW FOR DESIGN WITH GENETIC ALGORITHM
Naoto Muraoka, Yoshitsugu Aoki · Journal of Architecture and Planning (Transactions of AIJ) · 1997
In present paper we optimized an ideal plan with genetic algorithm (GA). The goodness of the plan was evaluated by sum of distances between rooms and construction cost. By minimizing these indicators simultaneously, we could get the optimum plan with GA efficiently. In the transition of the best plan of each generation, we could see strategies for good design such as zoning and effective column arrangement. In spite of giving only a system for generating plans and a method for evaluating the goodness of them to a computer, it seems to have obtained know-how for design.