Work

A genetic algorithm-based optimizing approach for project time-cost trade-off with uncertain measure

Year: 2014

Type: article

Abstract: Both the trade-off between the project cost and the project completion time and the indeterminacy of the environment are important issues for real-life project managers. In this paper, an uncertain time-cost trade-off problem, where activity cost functions are assumed to be linear and the objective function to be minimized is the project direct cost, is described based on uncertainty theory. Two uncertain time-cost trade-off models are built to satisfy different management requirements. To solve the proposed models, two equivalent crisp mathematical programming models are given, and genetic algorithm is introduced to search for quasi-optimal schedules. For future research, resource constraints or more types of indeterminacy can be included.

Source: Journal of Uncertainty Analysis and Applications

DOI: 10.1186/2195-5468-2-8

Author: Hua Ke

Institution: Tongji University

Language: English

Topic: Resource-Constrained Project Scheduling

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

Funder: National Natural Science Foundation of China

Awards: G1101679651, 随机与模糊混合环境下的工程进度优化理论及应用研究