Akademik Veri Yönetim Sistemi
7th International Project and Construction Management Conference, IPCMC 2022, , İstanbul, Türkiye, 20 - 22 Ekim 2022, ss.100-112
This paper intends to develop a modified oppositional teaching-learning-based optimization (MOTLBO) model for solving construction Time-Cost-Quality Trade-Off problems (TCQT). The model is based on a negative correlation scheme of opposition-based learning concept for population initialization and generation jumping of the current population. Furthermore, to handle objectives effectively, the MOTLBO is incorporated with non-dominated sorting (NDS) approach and crowding distance computation mechanism. Well-known 7- and 13 activity construction benchmark problems are solved to illustrate the applicability of the model proposed in the current study. The obtained results are compared with genetic algorithm (GA), ant colony optimization (ACO), and differential evolution algorithms. The simulation results exhibit that the utilized MOTLBO is able to ensure a superior set of Paretofront solutions maintaining good convergence speed as well as diversity.