Genetic algorithm-based decision support for the restoration budget allocation of historical buildings

Historical building preservation is becoming increasingly important world-wide due to the emphasis on cultural heritage and its potential benefits. Restoration management and cost allocation for these valuable buildings have been constant concerns. This study discusses problems concerning restoration budget allocation for historical buildings of the Tainan local government. A new contracting method based on genetic algorithm (GA) is presented to support decision makers in determining the optimal budget allocation and relevant contracting methods. Compared with traditional contracting methods, the result of a pilot test shows that the new method provides more effective and economical decision suggestions. Lessons learned in Tainan city could be useful for many other cities that are facing similar problems.