Repetitive Project Scheduling Optimization with Soft Logic Considering Maximum Constraints and Resource Continuity Constraints
- DOI
- 10.2991/assehr.k.210519.193How to use a DOI?
- Keywords
- project management, soft logic, minimum and maximum constraints, repetitive project scheduling, genetic algorithm
- Abstract
Project scheduling is an essential branch of construction management, which has been proved of practical worth. This paper aims to make improvements in it by adding new constraint to this problem to make it more practical. This article firstly establishes a model which can be optimized with soft logic for repetitive projects under the constraint of resource continuity. After model being established, the maximum and minimum constraints that constraint condition are taken into consideration to fill in the constraint condition. In this paper, a mathematical model considering soft logic is established to address the repetitive project optimization problem that coexists with maximum constraints and resource continuity constraints. The goal is to choose the appropriate construction mode and unit construction order between the units to minimize the corresponding construction cost, which aims to satisfy construction aims. Multi-objective solution is used to obtain the Pareto curve of the solution set and output multiple feasible solutions. An example of construction management that meets the hypothesis of this paper is used to prove that soft logic can optimize it.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Kong Feng AU - Yuan Chen PY - 2021 DA - 2021/05/20 TI - Repetitive Project Scheduling Optimization with Soft Logic Considering Maximum Constraints and Resource Continuity Constraints BT - Proceedings of the 7th International Conference on Humanities and Social Science Research (ICHSSR 2021) PB - Atlantis Press SP - 963 EP - 968 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210519.193 DO - 10.2991/assehr.k.210519.193 ID - Feng2021 ER -