[
Aminbakhsh, S. & Sonmez, R. (2017) Pareto front particle swarm optimizer for discrete time-cost trade-off problem. Journal of Computing in Civil Engineering, 31(1).
]Search in Google Scholar
[
Kaveh, A., Rajabi, F. & Mirvalad, S. (2021) Many-objective optimization for construction project scheduling using non-dominated sorting differential evolution algorithm based on reference points. Scientia Iranica, 28(6 A), 3112-3128.
]Search in Google Scholar
[
Knowles, J.D. & Corne, D.W. (2000) Approximating the nondominated front using the Pareto Archived Evolution Strategy. Evolutionary Computation, 8(2), 149-172.
]Search in Google Scholar
[
Mirjalili, S., Saremi, S., Mirjalili, S.M., & Coelho, L.D.S. (2016) Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization. Expert Systems with Applications, 47, 106-119.
]Search in Google Scholar
[
Mohammadi, M.O., Dede, T. & Grzywiński, M. (2022) Solving a stochastic time-cost-quality tradeoff problem by mete-heuristic optimization algorithms. Construction of Optimized Energy Potential, 11, 41-48.
]Search in Google Scholar
[
Ozcan-Deniz, G., Zhu, Y. & Ceron, V. (2012) Time, cost, and environmental impact analysis on construction operation optimization using genetic algorithms. Journal of Management in Engineering, 28(3), 265-272.
]Search in Google Scholar
[
Sharma, K., Soni, A. & Trivedi, M.K. (2023) A particle swarm optimization-based model for quality-safety trade-off optimization under constraint duration and cost of construction project. Lecture Notes in Mechanical Engineering, 115-126.
]Search in Google Scholar
[
Sonmez, R. & Bettemir, Ö.H. (2012) A hybrid genetic algorithm for the discrete time-cost trade-off problem. Expert Systems with Applications, 39(13), 11428-11434.
]Search in Google Scholar
[
Yılmaz, M. & Dede, T. (2023) Multi-objective time-cost trade-off optimization for the construction scheduling with Rao algorithms. Structures, 48, 798-808.
]Search in Google Scholar
[
Zhang, H. & Li, H. (2010) Multi-objective particle swarm optimization for construction time-cost tradeoff problems. Construction Management and Economics, 28(1), 75-88.
]Search in Google Scholar
[
Zheng, D.X.M., Ng, S.T. & Kumaraswamy, M.M. (2005) Applying pareto ranking and niche formation to genetic algorithm-based multiobjective time-cost optimization. Journal of Construction Engineering and Management, 131(1), 81-91.
]Search in Google Scholar
, 