Abstract
Generally, in optimization problems of the real world, it is rare to require the strict solution in all domains. Therefore, two or more realistic solutions are desired in many cases. Furthermore, in the real world, the optimal solution under not static environments, but dynamic environments that continue changing intricately is required. In recent years, many researches have been made, which are applied to the combinatorial optimization problems and multi-objective optimization problems using Genetic Algorithm (GA). However, GA frequently loses the diversity of solutions, due to the characteristics of searching process. In this paper, an attempt is made to develop an improved GA method for construction management. Several numerical examples are presented to demonstrate the efficiency and applicability of the proposed method.
