A Novel Decision Support System for Discrete Cost-CO2 Emission Trade-off in Construction Projects: The Usage of Imitate Genetic Algorithm

Acquaye, A. A. & Duffy, A. P. (2010). Input–output analysis of Irish construction sector greenhouse gas emissions. Building and Environment, 45 (3): 784-791.

Agarwal, V., Upadhyay, R.K. & Pathak, B.K. (2013). A State of Art Review on Time Cost Trade off Problems in Project Scheduling. International Journal of Application or Innovation in Engineering & Management (IJAIEM), 2 (5): 36-43.

Buchanan, A. H. & Honey, B. G. (1994). Energy and carbon dioxide implications of building construction. Energy and Buildings, 20 (3): 205-217.

Calhoun, C. J. (2010). Robert K. Merton: Sociology of Science and Sociology as Science, New York: Columbia UP. ISBN 978-0-231-15112-2.

Cole, R. J. (1999). Energy and greenhouse gas emissions associated with the construction of alternative structural systems. Building and Environment, 34 (3): 335-348.

Dawson, E. M. & Chatman, E. A. (2001). Reference group theory with implications for information studies: a theoretical essay. Information Research, 6(3). Retrieved from http://InformationR.net/6-3/paper105.html.

Dimoudi, A. & Tompa, C. (2008). Energy and environmental indicators related to construction of office buildings. Resources, Conservation and Recycling, 53(1–2): 86-95.

Ding, G.K.C. (2008). Sustainable construction-the role of environmental assessment tools. Journal of Environmental Management, 86 (3): 451-464.

EPA (2009). Potential for reducing greenhouse gas emissions in the construction sector, Washington D.C.: Environmental Protection Agency.

Feng, C. W., Liu, L. & Burns, S. A. (1997). Using genetic algorithms to solve construction time-cost trade-off problems. Journal of Computing in Civil Engineering, 11 (3):184-189.

Goldberg, DE. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning, M.A., USA: Addison-Wesley.

González, M. J. & Navarro, J. G. (2006). Assessment of the decrease of CO2 emissions in the construction field through the selection of materials: practical case study of three houses of low environmental impact, Building and Environment, 41 (7): 902-909.

Holton, G. (2004). Robert K. Merton - Biographical Memoirs, proceedings of the American philosophical society, 148 (4): 505-517.

Kalhor, Khanzadi, M., Eshtehardian, E. & Afshar, A. (2011). Stochastic time–cost optimization using non-dominated archiving ant colony approach. Automation in Construction, 20 (8): 1193-1203.

Ke, H. & Ma, J. (2014). Modeling project time–cost trade off in fuzzy random environment. Applied Soft Computing, (19): 80–85.

Ke, H. (2014). A genetic algorithm-based optimizing approach for project time-cost trade-off with uncertain measure. Journal of Uncertainty Analysis and Applications, 2(1):8. DOI: 10.1186/2195-5468-2-8.

Ke, H., Maa, W., Ni, Y. (2009). Optimization models and a GA-based algorithm for stochastic time-cost trade-off problem, Applied Mathematics and Computation, 215(1): 308-313.

Klanšek, U. & Pšunder, M. (2012). MINLP optimization model for the nonlinear discrete time–cost trade-off problem. Advances in Engineering Software,48 (1): 6–16.

Lit, H. & Love, P. (1997). Using improved genetic algorithms to facilitate time-cost optimization. journal of construction engineering and management, 123 (3): 233-237.

Liu, L., Burns, S.A. & Feng, C.W. (1995). Construction time-cost trade-off analysis using LP/IP hybrid method, Journal of construction engineering and management, 121(4): 446-454.

Liu, S., Tao, R. & Ming Tam, C. (2013). Optimizing cost and CO2 emission for construction projects using particle swarm optimization, Habitat International, 37 (1): 155-162.

Mokhtari, H., Baradaran Kazemzadeh, R. & Salmasnia A. (2011). Time-Cost Tradeoff Analysis in Project Management: An Ant System Approach, IEEE Transactions on Engineering Management, 58 (1): 36-43.

Monghasemi, S., Nikoo, M. R., Khaksar Fasaee, M. A. & Adamowski, J. (2014). A Novel Multi Criteria Decision Making Model for Optimizing Time-Cost-Quality Trade-off Problems in Construction Projects, Expert Systems with Applications. http://dx.doi.org/10.1016/j.eswa.2014.11.032.

Nabipoor Afruzi, Roghanian, E., Najafi, A.A. & Mazinani, M. (2013). A multi-mode resource-constrained discrete time–cost tradeoff problem solving using an adjusted fuzzy dominance genetic algorithm. Scientia Iranica, 20 (3): 931–944.

Pathak, B. K. & Srivastava, S. (2014). Integrated Fuzzy–HMH for project uncertainties in time–cost tradeoff problem, Applied Soft Computing, 21: 320-329.

Rahimi, M. & Iranmanesh, H. (2008). Multi Objective Particle Swarm Optimization for a Discrete Time, Cost and Quality Trade -off Problem, World Applied Sciences Journal, 4 (2): 270-276.

Singh, G. & Ernst, A. T. (2011). Resource constraint scheduling with a fractional shared resource. Operations Research Letters, 39 (5): 363–368.

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.

Tavana, M., Abtahi, A.R. & Khalili-Damghani, K. (2014). A new multi-objective multi-mode model for solving preemptive time–cost–quality trade-off project scheduling problems. Expert Systems with Applications, 41 (4): 1830–1846.

Wuliang, P. & Chengen, W. (2009). A multi-mode resource-constrained discrete time–cost tradeoff problem and its genetic algorithm based solution. International Journal of Project Management, 27 (6): 600–609.

Xu, J., Zheng, H., Zeng, Z., Wu, S. & Shen, M. (2012). Discrete time–cost–environment trade-off problem for large-scale construction systems with multiple modes under fuzzy uncertainty and its application to Jinping-II Hydroelectric Project. International Journal of Project Management, 30 (8): 950-966.

Yan, H., Shen, Q., Fan, L.C.H., Wang, Y. & Zhang, L. (2010). Greenhouse gas emissions in building construction: A case study of One Peking in Hong Kong. Building and Environment, 45 (4): 949-955.