Work

Optimizing of Discrete Time-Cost in Construction Projects Using New Adaptive Weight Formulations

Year: 2021

Type: article

Abstract: In this paper, four new adaptive weight formulations are developed to enhance the performance of traditional Modified Adaptive Weight Approach (MAWA), which is the simplest way for solving the multi-objective optimization of discrete time-cost trade-off problem (DTCTP). Several numerical experiments are conducted to validate the newly proposed formulations. In addition, three meta-heuristic-based optimization algorithms are utilized to examine the variations within the results of the test instances. The proposed model provides several ways to solve DTCTP, as it includes different formulations and optimization algorithms. So, this model performs well for the medium and large-scale time-cost optimization problems on contrary to the traditional MAWA.

Source: KSCE Journal of Civil Engineering

DOI: 10.1007/s12205-021-0783-5

Authors: Vedat Toğan, Neslihan Berberoğlu, Tayfun Dede

Institutions: Karadeniz Technical University, Artvin Coruh University

Language: English

Topic: Resource-Constrained Project Scheduling

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $1,800