Research Review on Application of Genetic Algorithms for Multi-Objective Optimal Management of Building Construction

This work explores the application of genetic algorithms to solve multi-objective optimization in building construction management from the aspect of Artificial Intelligence. Firstly, a comprehensive description of the four types of parameter coding methods and genetic operations is given. Then, the characteristics of various types of crossover and variation operators are elaborated and their applicability to the four types of parameter coding is analyzed. The results show that the floating-point coding method can improve the efficiency of dealing with multi-objective optimal management problems in building construction.