Elite and dynamic opposite learning enhanced sine cosine algorithm for application to plat-fin heat exchangers design problem

The heat exchanger has been widely used in the energy and chemical industry and plays an irreplaceable role in the featured applications. The design of heat exchanger is a mixed integer complex optimization problem, where the efficient design significantly improves the efficiency and reduces the cost. Many intelligent methods have been developed for heat exchanger optimal design. In this paper, a novel variant of sine and cosine algorithm named EDOLSCA is proposed, enhanced by dynamic opposite learning algorithm and the elite strategy. The proposed method is tested in CEC2014 benchmark and proved to be of significant advantages over the original algorithm. The new algorithm is then validated in the plate-fin heat exchanger (PFHE) optimal design problem. The comparison results of the proposed algorithm and other algorithms prove that EDOLSCA also has demonstrated superiority in heat exchanger optimal design.

[1]  Thomas Stützle,et al.  Ant colony optimization: artificial ants as a computational intelligence technique , 2006 .

[2]  F. Wilcoxon.  Individual Comparisons by Ranking Methods , 1945 .

[3]  Seyedali Mirjalili,et al.  SCA: A Sine Cosine Algorithm for solving optimization problems , 2016, Knowl. Based Syst..

[4]  Farid Najafi,et al.  PSOSCALF: A new hybrid PSO based on Sine Cosine Algorithm and Levy flight for solving optimization problems , 2018, Appl. Soft Comput..

[5]  Zhile Yang,et al.  A review of the potential of district heating system in Northern China , 2021 .

[6]  Zhe Wang,et al.  Layer pattern thermal design and optimization for multistream plate-fin heat exchangers—A review , 2016 .

[7]  Prakash Kotecha,et al.  Multi-level production planning in a petrochemical industry using elitist Teaching-Learning-Based-Optimization , 2015, Expert Syst. Appl..

[8]  Anand J. Kulkarni,et al.  Adaptive Range Genetic Algorithm: A hybrid optimization approach and its application in the design and economic optimization of Shell-and-Tube Heat Exchanger , 2019, Eng. Appl. Artif. Intell..

[9]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[10]  Hany M. Hasanien,et al.  Optimal power flow solution in power systems using a novel Sine-Cosine algorithm , 2018, International Journal of Electrical Power & Energy Systems.

[11]  Ponnuthurai Nagaratnam Suganthan,et al.  Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization , 2014 .

[12]  Zhile Yang,et al.  Dynamic opposite learning enhanced teaching-learning-based optimization , 2020, Knowl. Based Syst..

[13]  Ravi Kumar Jatoth,et al.  Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking , 2018, Appl. Soft Comput..

[14]  A. Bejan.  Entropy Generation Minimization: The Method of Thermodynamic Optimization of Finite-Size Systems and Finite-Time Processes , 1995 .

[15]  M. Nabi,et al.  Re-entry trajectory optimization for space shuttle using Sine-Cosine Algorithm , 2017, 2017 8th International Conference on Recent Advances in Space Technologies (RAST).

[16]  Dan Simon,et al.  Oppositional biogeography-based optimization , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

[17]  Jianzhou Wang,et al.  A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm , 2018 .

[18]  Vivek Patel,et al.  Thermal-hydraulic optimization of plate heat exchanger: A multi-objective approach , 2018 .

[19]  Ralph L. Webb,et al.  Heat transfer and friction in the offset stripfin heat exchanger , 1987 .

[20]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[21]  Dong Xu,et al.  Multi-objective shape optimization of a plate-fin heat exchanger using CFD and multi-objective genetic algorithm , 2017 .

[22]  Pamphile T. Roy,et al.  Design optimization of an heat exchanger using Gaussian process , 2020 .

[23]  C. Abeykoon.  Compact heat exchangers – Design and optimization with CFD , 2020, International Journal of Heat and Mass Transfer.

[24]  Chunquan Li,et al.  An Enhanced Brain Storm Sine Cosine Algorithm for Global Optimization Problems , 2019, IEEE Access.

[25]  Kusum Deep,et al.  A hybrid self-adaptive sine cosine algorithm with opposition based learning , 2019, Expert Syst. Appl..

[26]  Darrell Whitley,et al.  A genetic algorithm tutorial , 1994, Statistics and Computing.

[27]  Tommy W. S. Chow,et al.  Neighborhood field for cooperative optimization , 2013, Soft Comput..

[28]  Kusum Deep,et al.  Improved sine cosine algorithm with crossover scheme for global optimization , 2019, Knowl. Based Syst..

[29]  R. Venkata Rao,et al.  Constrained economic optimization of shell-and-tube heat exchangers using elitist-Jaya algorithm , 2017 .

[30]  R. Venkata Rao,et al.  Teaching-Learning-Based Optimization: An optimization method for continuous non-linear large scale problems , 2012, Inf. Sci..

[31]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[32]  M. Yousefi,et al.  An imperialist competitive algorithm for optimal design of plate-fin heat exchangers , 2012 .

[33]  Kusum Deep,et al.  A novel hybrid sine cosine algorithm for global optimization and its application to train multilayer perceptrons , 2019, Applied Intelligence.

[34]  R. Venkata Rao,et al.  Economic optimization of shell-and-tube heat exchanger using Jaya algorithm with maintenance consideration , 2017 .

[35]  A. Abdel-azim.  Fundamentals of Heat and Mass Transfer , 2011 .

[36]  Belkacem Mahdad,et al.  A new interactive sine cosine algorithm for loading margin stability improvement under contingency , 2017 .

[37]  Nantiwat Pholdee,et al.  Adaptive Sine Cosine Algorithm Integrated with Differential Evolution for Structural Damage Detection , 2017, ICCSA.

[38]  M. Hariharan,et al.  Sine–cosine algorithm for feature selection with elitism strategy and new updating mechanism , 2017, Neural Comput. Appl..

[39]  Soheyl Khalilpourazari,et al.  Sine Cosine Crow Search Algorithm: A powerful hybrid meta heuristic for global optimization , 2018, ArXiv.

[40]  Viviana Cocco Mariani,et al.  Design of heat exchangers using Falcon Optimization Algorithm , 2019, Applied Thermal Engineering.

[41]  Zhou Wu,et al.  Crowdsourcing Model for Energy Efficiency Retrofit and Mixed-Integer Equilibrium Analysis , 2020, IEEE Transactions on Industrial Informatics.

[42]  Abdul Hanan Abdullah,et al.  Optimization of plate-fin heat exchangers by an improved harmony search algorithm , 2013 .

[43]  Baran Hekimoğlu,et al.  Sine-cosine algorithm-based optimization for automatic voltage regulator system , 2018, Trans. Inst. Meas. Control.

[44]  Anand Jayant Kulkarni,et al.  Design and economic optimization of shell-and-tube heat exchanger using cohort intelligence algorithm , 2018, Neural Computing and Applications.

[45]  K. Chandrasekaran,et al.  Partial shading detection for PV arrays in a maximum power tracking system using the sine-cosine algorithm , 2020 .

[46]  Thomas Stützle,et al.  Ant Colony Optimization , 2009, EMO.

[47]  Shahryar Rahnamayan,et al.  Quasi-oppositional Differential Evolution , 2007, 2007 IEEE Congress on Evolutionary Computation.

[48]  Yang Lou,et al.  Selecting evolutionary algorithms for black box design optimization problems , 2018, Soft Comput..

[49]  Ajoy Kumar Chakraborty,et al.  Solution of short-term hydrothermal scheduling using sine cosine algorithm , 2018, Soft Comput..

[50]  Diego Oliva,et al.  An improved Opposition-Based Sine Cosine Algorithm for global optimization , 2017, Expert Syst. Appl..

[51]  A. John,et al.  Performing multiobjective optimization on perforated plate matrix heat exchanger surfaces using genetic algorithm , 2017 .

[52]  Pakize Erdogmus,et al.  Solving Constrained Optimization Problems with Sine-Cosine Algorithm , 2017 .

[53]  Zhile Yang,et al.  A novel competitive swarm optimized RBF neural network model for short-term solar power generation forecasting , 2020, Neurocomputing.

[54]  M.M.A. Salama,et al.  Opposition-Based Differential Evolution , 2008, IEEE Transactions on Evolutionary Computation.