Time-Cost Trade-off Optimization of Construction Projects using Teaching Learning Based Optimization


TOĞAN V. , EIRGASH M. A.

KSCE JOURNAL OF CIVIL ENGINEERING, vol.23, no.1, pp.10-20, 2019 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 23 Issue: 1
  • Publication Date: 2019
  • Doi Number: 10.1007/s12205-018-1670-6
  • Title of Journal : KSCE JOURNAL OF CIVIL ENGINEERING
  • Page Numbers: pp.10-20
  • Keywords: critical path method, multi-objective optimization, meta-heuristic algorithm, time-cost trade-off problem, PARTICLE SWARM OPTIMIZATION, MULTIOBJECTIVE OPTIMIZATION, GENETIC ALGORITHM, DESIGN, MODEL

Abstract

Accelerating the project schedule raises the total cost of the project and shall be efficient only up to a certain limit. A Time-Cost Trade-off Problem (TCTP) is utilized to detect the optimal set of time-cost alternatives to enhance the overall construction project benefit. In this study, to find a set of Pareto front solutions, a multi-objective optimization model which is based on the Teaching- Learning Based Optimization (TLBO) incorporated with the Modified Adaptive Weight Approach (MAWA), is proposed. Four examples of construction projects taken from the technical literature ranging from 7 to 63 activities are investigated to show the performance of the MAWA-TLBO. The results are compared with those obtained using previously proposed models considering the optimal or near optimal solutions. It was found that the MAWA-TLBO algorithm works effectively for the TCTP in construction engineering and management field.