R.K. Shah, Fundamentals of Heat Exchanger Design, John Wiley and Sons, New York, 2003
 M. Fesanghary, E. Damangir, I. Soleimani, Design optimization of shell and tube heat exchangers using global sensitivity analysis and harmony search algorithm, Applied Thermal Engineering, 29(5) (2009) 1026-1031.
 V. Segundo, A. Amoroso, V. Mariani, L. Coelho, Economic optimization design for shell-and-tube heat exchangers by a Tsallis differential evolution, Applied Thermal Engineering, 111 (2017) 143–151.
 M. Asadi, Y. Song, B. Sunden, G. Xie, Economic optimization design of shell-and-tube heat exchangers by cuckoo-search-algorithm, Applied Thermal Engineering, 73 (2014) 1032–1040.
 H. Sadeghzadeh, M.A. Ehyaei, M.A. Rosen, Techno-economic optimization of a shell and tube heat exchanger by genetic and particle swarm algorithms, Energy Conversion and Management, 93 (2015) 84–91.
 D. Mohanty, Application of firefly algorithm for design optimization of a shell and tube heat exchanger from economic point of view, International Journal of Thermal Sciences, 102 (2016) 228-238.
 V. Patel, R. Rao, Design optimization of shell-and-tube heat exchanger using particle swarm optimization technique, Applied Thermal Engineering, 30 (2010) 1417–1425.
 R. Selbas, O. Kızılkan, M. Reppich, A new design approach for shell-and-tube heat exchangers using genetic algorithms from economic point of view, Chemical Engineering Process, 45 (2006) 268–275.
 A. Caputo, P. Pelagagge, P. Salini, Heat exchanger design based on economic optimization, Applied Thermal Engineering, 28 (2008) 1151–1159.
 J. Ponce-Ortega, M. Serna-Gonzalez, A. Jimenez-Gutierrez, Use of genetic algorithms for the optimal design of shell-and-tube heat exchangers, Applied Thermal Engineering, 29 (2009) 203–209.
 R. Hilbert, G. Janiga, R. Baron, D. Thevenin, Multi-objective shape optimization of a heat exchanger using parallel genetic algorithms, International Journal of Heat and Mass Transfer, 49 (2006) 2567–2577.
 I. Ozkol, G. Komurgoz, Determination of the optimum geometry of the heat exchanger body via a genetic algorithm, International Journal of Heat and Mass Transfer, 48 (2005) 283-296.
 M. Abootorabi, Multi-objective Optimization of Surface Roughness and Material Removal Rate Using an Improved Self-Adaptive Particle Swarm Optimization Algorithm in the Milling process, AUT J. Mech. Eng, 2(1) (2018) 117-123.
 M.J. Mahmooudabadi, M. Taherkhorsandi, ntelligent Control of Biped Robots: Optimal Fuzzy Tracking Control via Multi Objective Particle Swarm Optimization and Genetic Algorithms, AUT Journal of Mechanical Engineering, 4(2) (2020) 21-30.
 P.M. Lerou, T.T. Veenstra, J.F. Burger, H. Rogalla, Optimization of counter flow heat exchanger geometry through minimization of entropy generation, Cryogenics, 45 (2005) 659-669.
 G.N. Xie, B. Sunden, Q.W. Wang, Optimization of compact heat exchangers by a genetic algorithm, Applied Thermal Engineering, 28 (2008) 895-906.
 H. Karimi, H.A. Danesh Ashtiani, C. Aghanajafi, Study of mixed materials heat exchanger using optimization techniques, Journal of Engineering, Design and Technology, 17(2) (2019) 414-433.
 H. Karimi, H.A. Danesh Ashtiani, C. Aghanajafi, Applying multiple decomposition methods and optimization techniques for achieving optimal cost in mixed materials heat exchanger networks, International journal of energy research, 43 (2019) 3711–3722.
 H. Karimi, H.A. Danesh Ashtiani, C. Aghanajafi, Optimization of the total annual cost in a shell and tube heat exchanger by Ant colony optimization technique, Iranian journal of Marine technology, 6(3) (2019) 113-121.
 B. Raja, R. Jhala, V. Patel, Many-objective optimization of shell and tube heat exchanger, Thermal Science and Engineering Progress, 2 (2017) 87-101.
 R.K. Sinnot, J.M. Coulson, J.F. Richardson, Chemical Engineering Design, Butterworth-Heinemann, Boston MA, 1996.
 Y. Dong, J. Tang, B. Xu, D. Wang, An application of swarm optimization to nonlinear programming, Computer and Mathematics with Applications, 49 (2005) 1655-1668.
 K. Bamdad, M. Cholette, L. Guan, J. Bell, Building energy optimisation using artificial neural network and ant colony optimisation, in: Australasian Building Simulation Conference, Australia, 2017.
 K. Bamdad, M. Cholette, L. Guan, J. Bell, Building energy retrofits using Ant Colony Optimisation, in: Healthy Buildings Europe Conference Poland, 2017.
 A.W. Mohamed, An improved differential evolution algorithm with triangular mutation for global numerical optimization, Computers & Industrial Engineering, 85 (2015) 359–375.
 M. Taal, I. Bulatov, J. Klemes, P. Stehlik, Cost estimation and energy price forecast for economic evolution of retrofit projects, Applied Thermal Engineering, 23 (2003) 1819-1835.
 A. Hadidi, M. Hadidi, A. Nazari, A new design approach for shell-and-tube heat exchangers using imperialist competitive algorithm (ICA) from economic point of view, Energy Conversion and management, 67 (2013) 66-74.
 A. Hadidi, A. Nazari, Design and economic optimization of shell-and-tube heat exchangers using biogeography-based (BBO) algorithm, Applied Thermal Engineering, 51 (2013) 1263-1272.