A multi-objective decision making model based on TLBO for the time - cost trade-off problems
STRUCTURAL ENGINEERING AND MECHANICS, vol.71, no.2, pp.139-151, 2019 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 71 Issue: 2
- Publication Date: 2019
- Doi Number: 10.12989/sem.2019.71.2.139
- Journal Name: STRUCTURAL ENGINEERING AND MECHANICS
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.139-151
- Keywords: critical path method (CPM), multi objective optimization, meta-heuristic algorithm, time cost trade-off problem (TCTP), construction management, LEARNING-BASED OPTIMIZATION, PARTICLE SWARM OPTIMIZATION, DISCRETE-TIME, PARAMETER OPTIMIZATION, ALGORITHM, DESIGN
- Karadeniz Technical University Affiliated: Yes
Abstract
In a project schedule, it is possible to reduce the time required to complete a project by allocating extra resources for critical activities. However, accelerating a project causes additional expense. This issue is addressed by finding optimal set of time-cost alternatives and is known as the time-cost trade-off problem in the literature. The aim of this study is to identify the optimal set of time-cost alternatives using a multiobjective teaching-learning-based optimization (TLBO) algorithm integrated with the non-dominated sorting concept and is applied to successfully optimize the projects ranging from a small to medium large projects. Numerical simulations indicate that the utilized model searches and identifies optimal/near optimal trade-offs between project time and cost in construction engineering and management. Therefore, it is concluded that the developed TLBO-based multiobjective approach offers satisfactorily solutions for time-cost trade-off optimization problems.