Publications in International Journals
	34.	Z. Kalita and D. Datta (2024). A constrained multi-objective multi-floor facility layout problem. International Journal on Interactive Design and Manufacturing, doi: https://doi.org/10.1007/s12008-024-01742-0.
	33.	D. Deka and D. Datta (2019). Optimization of unit commitment problem with ramp-rate constraint and wrap-around scheduling. Electric Power Systems Research, 177:105948, doi: https://doi.org/10.1016/j.epsr.2019.105948.
	32.	Z. Kalita, D. Datta, and G. Palubeckis (2019). Bi-objective corridor allocation problem using a permutation-based genetic algorithm hybridized with a local search technique. Soft Computing, 23(3):961-986, doi: https://doi.org/10.1007/s00500-017-2807-0.
	31.	D. Datta (2019). Comments on "Multi-objective optimization of double effect series and parallel flow water-lithium chloride and water-lithium bromide absorption refrigeration systems" by Konwar et al. [Energy Convers. Manage. 180 (2019) 425-441]. Energy Conversion and Management, 185:935-937, doi: https://doi.org/10.1016/j.enconman.2018.12.107.
	30.	A. Deka and D. Datta (2019). Multi-objective optimization of annular fin array subject to thermal load. Journal of Thermophysics and Heat Transfer, 33(1):254-263, doi: https://doi.org/10.2514/1.T5394.
	29.	S. Kashyap, J. Islam and D. Datta (2018). A study of industrial lime sludge waste as filler in hybrid polymeric composites. Materials Science and Engineering (IOP Conf. Series), 377:012019, doi: https://doi.org/10.1088/1757-899X/377/1/012019.
	28.	Z. Kalita and D. Datta (2018). A constrained single-row facility layout problem. International Journal of Advanced Manufacturing Technology, 98(5-8):2173-2184, doi: https://doi.org/10.1007/s00170-018-2370-6.
	27.	S. Kashyap and D. Datta (2018). Evaluation of stearic acid modified industrial lime sludge waste as filler in high density polyethylene composites. Journal of Polymer Engineering, 38(4):333-341, doi: https://doi.org/10.1515/polyeng-2017-0138.
	26.	A. Deka and D. Datta (2018). Multi-objective optimization of annular fin array with B-spline curve based fin profiles. Journal of Thermal Stresses, 41(2):247-261, doi: http://dx.doi.org/10.1080/01495739.2017.1393321.
	25.	S. Kashyap and D. Datta (2017). Industrial lime sludge waste - HDPE composites - a study of their mechanical, thermal and morphological properties. Journal of Thermoplastic Composite Materials, 31(10), 1323-1340, doi: https://doi.org/10.1177/0892705717738289.
	24.	P.J. Steiner Neto, D. Datta, M.T.A. Steiner, O. Canciglieri Jr., J.R. Figueira, S.P. Detro, and C.T. Scarpin (2017). A multi-objective genetic algorithm based approach for location of grain silos in Parana State of Brazil. Computers & Industrial Engineering, 111:381-390, doi: https://doi.org/10.1016/j.cie.2017.07.019.
	23.	S. Kashyap and D. Datta (2017). Reusing industrial lime sludge waste as a filler in polymeric composites. Materialstoday: Proceedings, 4(2) Part A:2946-2955, doi: https://doi.org/10.1016/j.matpr.2017.02.176.
	22.	A. Deka and D. Datta (2017). B-spline curve based optimum profile of annular fins using multi-objective genetic algorithm. Journal of Thermal Stresses, 40(6):733-746, doi: http://dx.doi.org/10.1080/01495739.2016.1276419.
	21.	A. Deka and D. Datta (2017). Geometric size optimization of annular step fin using multi-objective genetic algorithm. Journal of Thermal Science and Engineering Applications, 9(2):021013 (9 pages), doi: http://dx.doi.org/10.1115/1.4035838.
	20.	D. Deka and D. Datta (2017). Multi-objective optimization of the scheduling of a heat exchanger network under milk fouling. Knowledge-Based Systems, 121:71-82, doi: http://dx.doi.org/10.1016/j.knosys.2016.12.027.
	19.	S. Kashyap and D. Datta (2015). Process parameter optimization of plastic injection molding: a review. International Journal of Plastics Technology, 19(1):1-18, doi: http://dx.doi.org/10.1007/s12588-015-9115-2.
	18.	M.T.A. Steiner, D. Datta, P.J.S. Neto, C.T. Scarpin and J.R. Figueira (2015). Multi-objective optimization in partitioning the healthcare system of Parana State in Brazil. Omega - The International Journal of Management Science, 52:53-64, doi: http://dx.doi.org/10.1016/j.omega.2014.10.005.
	17.	Z. Kalita and D. Datta (2014). Solving the bi-objective corridor allocation problem using a permutation-based genetic algorithm. Computers & Operations Research, 52(Part-A):123-134, doi: http://dx.doi.org/10.1016/j.cor.2014.07.008.
	16.	P.K. Nath and D. Datta (2014). Multi-objective hardware-software partitioning of embedded systems: a case study of JPEG encoder. Applied Soft Computing, 15:30-41, doi: http://dx.doi.org/10.1016/j.asoc.2013.10.032.
	15.	D. Datta (2013). Unit commitment problem with ramp rate constraint using a binary-real-coded genetic algorithm. Applied Soft Computing, 13(9):3873-3883, doi: http://dx.doi.org/10.1016/j.asoc.2013.05.002.
	14.	D. Datta and J.R. Figueira (2013). A real-integer-discrete-coded differential evolution. Applied Soft Computing, 13(9):3884-3893, doi: http://dx.doi.org/10.1016/j.asoc.2013.05.001.
	13.	D. Datta, J.R. Figueira, A. Gourtani and A. Morton (2013). Optimal administrative geographies: an algorithmic approach. Socio-Economic Planning Sciences, 47(3):247-257, doi: http://dx.doi.org/10.1016/j.seps.2013.03.002.
	12.	N. Ahmed, S. Sengupta and D. Datta (2013). An exact analysis for MHD free convection mass transfer flow past an oscillating plate embedded in a porous medium with Soret effect. Chemical Engineering Communications, 200(4):494-513, doi: http://dx.doi.org/10.1080/00986445.2012.709474.
	11.	D. Datta and S. Dutta (2012). A binary-real-coded differential evolution for unit commitment problem. International Journal of Electrical Power and Energy Systems, 42(1):517-524, doi: http://dx.doi.org/10.1016/j.ijepes.2012.04.048.
	10.	D. Datta, J. Malczewski and J.R. Figueira (2012). Spatial aggregation and compactness of census areas with a multi-objective genetic algorithm: a case study in Canada. Environment and Planning B: Planning and Design, 39(2):376-392, doi: http://dx.doi.org/10.1068/b38078.
	9.	D. Datta and J.R. Figueira (2012). Some convergence-based M-ary cardinal metrics for comparing performances of multi-objective optimizers. Computers & Operations Research, 39(7):1754-1762, doi: http://dx.doi.org/10.1016/j.cor.2011.10.013.
	8.	D. Datta, A.R.S. Amaral and J.R. Figueira (2011). Single row facility layout problem using a permutation-based genetic algorithm. European J. of Operational Research, 213(2):388-394, doi: http://dx.doi.org/10.1016/j.ejor.2011.03.034.
	7.	D. Datta and J.R. Figueira (2011). Graph partitioning by multi-objective real-valued metaheuristics: A comparative study. Applied Soft Computing, 11(5):3976-3987, doi: http://dx.doi.org/10.1016/j.asoc.2011.01.044.
	6.	D. Datta and J.R. Figueira (2011). A real-integer-discrete-coded particle swarm optimization for design problems. Applied Soft Computing, 11(4):3625-3633, doi: http://dx.doi.org/10.1016/j.asoc.2011.01.034.
	5.	M. Ghosh, B.K. Tiwary and D. Datta (2010). Maintaining optimal state probabilities in biological systems. Systems and Synthetic Biology, 4(2):117-124, doi: http://dx.doi.org/10.1007/s11693-010-9058-z.
	4.	D. Datta, C.M. Fonseca and K. Deb (2008). A multi-objective evolutionary algorithm to exploit the similarities of resource allocation problems. Journal of Scheduling, 11(6):405-419, doi: http://dx.doi.org/10.1007/s10951-008-0073-9.
	3.	D. Datta, K. Deb, C.M. Fonseca, F.G. Lobo, P.A. Condado and J. Seixas (2007). Multi-objective evolutionary algorithm for land-use management problem. Int. J. of Computational Intelligence Research, 3(4):371-384, http://www.ripublication.com/ijcirv4/ijcirv3n4_10.pdf.
	2.	D. Datta (2006). An efficient technique for handling infeasibility in sequential linear programming method. Journal of Computational Mathematics and Optimization, 2:11-34, ISSN:0972-9372, http://sasip.net/JOCMOindexvolume21.html.
	1.	D. Datta and K. Deb (2006). Design of optimum cross-sections for load-carrying members using multi-objective evolutionary algorithms. International Journal of Systemics, Cybernetics and Informatics, 1(1):57-63, ISSN:0973-4864.