Multi-objective Optimization Problem for Hydroelectric Construction Project and Strategy Analysis

Abstract

This paper presents a multi-objective optimization problem trade-off problem with a hybrid genetic algorithm to a construction project in China. The objective functions in this paper are to minimize the project time, to minimize the penalty cost, and to minimize carbon emissions. After describing the procedure of the problem in the project, this paper gives the mathematical formulation model. Furthermore, because traditional optimization techniques could not cope with the problem effectively, this paper presents a new approach based on the hybrid genetic algorithm (hGA). An adaptive hybrid genetic algorithm is developed for finding feasible solutions. Finally, a construction project is used as a practical example to demonstrate the practicality and efficiency of the model. Results are presented to highlight the performances of the optimization method, which is very effective and efficient as compared to other algorithms.