B. Alazmi, K. Vafai, Constant wall heat flux boundary conditions in porous media under local thermal non-equilibrium conditions, International Journal of Heat and Mass Transfer 45 (2002) 3071–3087.
 A.A. Mohamad, Heat transfer enhancements in heat exchangers fitted with porous media Part I: constant wall temperature, International Journal of Thermal Sciences 42 (2003) 385–395.
 B.I. Pavel, A.A. Mohamad, An experimental and numerical study on heat transfer enhancement for gas heat exchangers fitted with porous media, International Journal of Heat and Mass Transfer 47 (2004) 4939–4952.
 H. Shokouhmand, F. Jam, M.R. Salimpour, Simulation of laminar flow and convective heat transfer in conduits filled with porous media using Lattice Boltzmann Method, International Communications in Heat and Mass Transfer 36 (2009) 378-384.
 H. Shokouhmand, F. Jam, M.R. Salimpour, The effect of porous insert position on the enhanced heat transfer in partially filled channels, International Communications in Heat and Mass Transfer 38 (2011) 1162–1167.
 K. Yang, K. Vafai, Analysis of heat flux bifurcation inside porous media incorporating inertial and dispersion effects e an exact solution, International Journal of Heat and Mass Transfer 54 (2011) 5286-5297.
 K. Yang, K. Vafai, Restrictions on the validity of the thermal conditions at the porous-fluid interfaced an exact solution, Journal of Heat Transfer 133 (2011) 112601.
 T.Z. Ming, Y. Zheng, J. Liu, C. Liu, W. Liu, S.Y. Huang, Heat transfer enhancement by filling metal porous medium in central area of tubes, Journal of the Energy Institute 83 (2010) 17-24.
 R. Vajjha, D. Das, P. Namburu, Numerical study of fluid dynamic and heat transfer performance of Al2O3 and CuO nanofluids in the flat tubes of a radiator, International Journal of Heat and Fluid Flow 31 (2010) 613–621.
 P. Razi, M. Akhavan-Behabadi, M. Saeedinia, Pressure drop and thermal characteristics of CuO-base oil nanofluid laminar flow in flattened tubes under constant heat flux, International Communications in Heat and Mass Transfer 38 (2011) 964–971.
 H. Safikhani, A. Abbassi, Effects of tube flattening on the fluid dynamic and heat transfer performance of nanofluids, Advanced Powder Technology 25 (2014) 1132–1141.
 H. Safikhani, A. Abbassi, A. Khalkhali, M. Kalteh, Multi-objective optimization of nanofluid flow in flat tubes using CFD, Artificial Neural Networks and genetic algorithms, Advanced Powder Technology 25 (2014) 1608–1617.
 J.S.R. Jang, R. May, ANFIS: Adaptive network based fuzzy inference systems, IEEE Transactions on Systems, Man, and Cybernetics, 23 (1993) 665–685.
 H. Esen, M. Inalli, A. Sengur, M. Esen, Modelling a ground-coupled heat pump system using adaptive neuro-fuzzy inference system, International Journal of Refrigeration 31 (2007) 65-74.
 H. Esen, M. Inalli, A. Sengur, M. Esen, Artificial neural networks and adaptive neuro fuzzy assessments for ground-coupled heat pump system, Energy and Buildings 40 (2008) 1074-1083.
 H. Esen, M. Inalli, ANN and ANFIS models for performance evaluation of a vertical ground source heat pump system, Expert Systems with Applications 37 (2010) 8134-8147.
 W. Yaïci, E. Entchev, Adaptive Neuro-Fuzzy Inference System modelling for performance prediction of solar thermal energy system, Renewable Energy 86 (2016) 302-315.
 K. Ermis, A. Erek, I. Dincer, Heat transfer analysis of phase change process in a finned-tube thermal energy storage system using artificial neural network, International Journal of Heat and Mass Transfer 50 (2007) 3163-3175.
 H.M. Ertunca, M. Hosoz, Comparative analysis of an evaporative condenser using artificial neural network and adaptive neuro-fuzzy inference system, International Journal of Refrigeration 31 (2008) 1426-1436.
 M. Hosoz, H.M. Ertunc, H. Bulgurcu, An adaptive neuro-fuzzy inference system model for predicting the performance of a refrigeration system with a cooling tower, Expert Systems with Applications 38 (2011) 14148-14155.
 T.R. Kiran, S.P.S. Rajput, An effectiveness model for an indirect evaporative cooling (IEC) system: comparison of artificial neural networks (ANN), adaptive neuro-fuzzy inference system (ANFIS) and fuzzy inference system (FIS) approach, Applied Soft Computing 11 (2011) 3525-3533.
 A.S., Sahin, Performance analysis of single-stage refrigeration system with internal heat exchanger using neural network and neuro-fuzzy, Renewable Energy 31 (2011) 2747-2752.
 T.H. Lee, J.Y. Yun, J.S. Lee, J.J. Park, K.S. Lee, Determination of airside heat transfer coefficient on wire-on tube type heat exchanger, International Journal of Heat and Mass Transfer 44 (2001) 1767-1776.
 Y. Varol, E. Avci, A. Koca, H.F. Oztop, Prediction of flow fields and temperature distributions due to natural convection in a triangular enclosure using Adaptive-Network-Based Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN), International Communications in Heat and Mass Transfer 34 (2007) 887-896.
 Y. Varol, A. Koca, H.F. Oztop, E. Avci, Analysis of adaptive-network-based fuzzy inference system (ANFIS) to estimate buoyancy-induced flow field in partially heated triangular enclosures, Expert Systems with Applications 35 (2008) 1989-1997.
 M. Hayati, A. Rezaei, M. Seifi, Prediction of the heat transfer rate of a single layer wire-on-tube type heat exchanger using ANFIS. Short Communication, International Journal of Refrigeration 32 (2009) 1914-1917.
 E. Rezaei, A.M. Karami, T. Yousefi, S. Mahmoudinezhad, Modeling the free convection heat transfer in a partitioned cavity using ANFIS, International Communications in Heat and Mass Transfer 39 (2012) 470-475.
 T.A. Tahseen, M. Ishak, M.M. Rahman, Performance predictions of laminar heat transfer and pressure drop in an in-line flat tube bundle using an adaptive neuro-fuzzy inference system (ANFIS) model, International Communications in Heat and Mass Transfer 50 (2014) 85-97.
 S. Soyguder, H. Alli, Predicting of fan speed for energy saving in HVAC system based on adaptive network based fuzzy inference system, Expert Systems with Applications 36 (2009) 8631-8638.
 A. Swain, M. Kumar das, Prediction of Heat Transfer Coefficient in Flow Boiling over Tube Bundles Using ANFIS, Heat Transfer Engineering 37 (2016) 443-455.
 A. Hasiloglu, M. Yilmaz, O. Comakli, İ. Ekmekci, Adaptive neuro-fuzzy modeling of transient heat transfer in circular duct air flow, International Journal of Thermal Sciences 43 (2004) 1075-1090.
 M. Mehrabi, S.M. Pesteei, T.G. Pashaee, Modeling of heat transfer and fluid flow characteristics of helicoidal double-pipe heat exchangers using Adaptive Neuro-Fuzzy Inference System (ANFIS), International Communications in Heat and Mass Transfer 38 (2011) 525–532.
 S. Wang, J. Xiao, J. Wang, G. Jian, J. Wen, Z. Zhang, Application of response surface method and multi-objective genetic algorithm to configuration optimization of Shell-and-tube heat exchanger with fold helical baffles, Applied Thermal Engineering. 129 (2018) 512-520.
 H. Liu, H. Zhang, F. Yang, X. Hou, F. Yu, S. Song, Multi-objective optimization of fin-and-tube evaporator for a diesel engine organic Rankine cycle (ORC) combined system using particle swarm optimization algorithm, Energy Conversion and Management 151 (2017) 147–157.
 N. Zheng, P. Liu, X. Wang, F. Shan, Z. Liu, W. Liu, Numerical simulation and optimization of heat transfer enhancement in a heat exchanger tube fitted with vortex rod inserts, Applied Thermal Engineering 123 (2017) 471-484.
 S. Wang, J. Xiao, J. Wang, J. Guanping, W. Jian, Zh. Zaoxiao, Configuration optimization of shell-and-tube heat exchangers with helical baffles using multi-objective genetic algorithm based on fluid-structure interaction, International Communications in Heat and Mass Transfer 85 (2017) 62–69.
 A.G. Ivakhnenko, Polynomial theory of complex systems, IEEE Transactions on Systems, Man, and Cybernetics, SMC-1 (1971) 364-378.
 H. Safikhani, M.A. Akhavan-Behabadi, N. Nariman-Zadeh, M.J. Mahmood Abadi, Modeling and multi-objective optimization of square cyclones using CFD and neural networks, Chemical Engineering Research and Design 89 (2011) 301–309.
 H. Safikhani, Modeling and multi-objective Pareto optimization of new cyclone separators using CFD, ANNs and NSGA II algorithm, Advanced Powder Technology 27 (2016) 2277-2284.
 M.D. Damavandi, M. Forouzanmehr, H. Safikhani, Modeling and Pareto based multi-objective optimization of wavy fin-and-elliptical tube heat exchangers using CFD and NSGA-II algorithm, Applied Thermal Engineering 111 (2017) 325–339.
 M.D. Damavandi, S.M. Mousavi, H. Safikhani, Pareto optimal design of swirl cooling chambers with tangential injection using CFD, GMDH-type of ANN and NSGA-II algorithm, International Journal of Thermal Sciences 122 (2017) 102-114.
 K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, 6 (2002) 182-197.
 H. Safikhani, A. Hajiloo, M.A. Ranjbar, Modeling and multi-objective optimization of cyclone separators using CFD and genetic algorithms, Computers & Chemical Engineering 35 (2011) 1064–1071.
 D.A. Nield, A. Bejan, Convection in Porous Media, Springer, New York, 2013.
 Y. Mahmoudi, N. Karimi, Numerical investigation of heat transfer enhancement in a pipe partially filled with a porous material under local thermal non-equilibrium condition, International Journal of Heat and Mass Transfer 68 (2014) 161–173.
 T. Takagi, M. Sugeno, Fuzzy identification of systems and its application to modeling and control, IEEE Transactions on Systems, Man, and Cybernetics, 15 (1985) 116–132.
 J.S.R. Jang, C.T. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing, A Computational Approach to Learning and Machine Intelligence, Prentice Hall, NJ, USA, 1997.
 L.A. Zadeh, Fuzzy sets, Information and Control 8 (1965) 338-353.
 C.D. Montgomery, Design and Analysis Experiments, John Wiley & Son, 1991.
 G. Jekabsons, J. Lavendels, A comparison of heuristic methods for polynomial regression model induction, Mathematical Modelling and Analysis 13 (2008) 17–27.
 S.J. Farlow, Self-organizing methods in modeling: GMDH type algorithms, CRC Press, 1984.