Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm
R. Venkata Rao,Vivek Patel +1 more
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TLDR
In this paper, a modified version of the TLBO algorithm is introduced and applied for the multi-objective optimization of heat exchangers, where the objective function is to maximize the heat exchanger effectiveness and minimize the total cost of the exchanger.About:
This article is published in Applied Mathematical Modelling.The article was published on 2013-02-01 and is currently open access. It has received 305 citations till now. The article focuses on the topics: Plate fin heat exchanger & Shell and tube heat exchanger.read more
Citations
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A quantum-behaved particle swarm optimization with memetic algorithm and memory for continuous non-linear large scale problems
TL;DR: An improved QPSO algorithm for continuous non-linear large scale problems based on memetic algorithm and memory mechanism and the experimental results show the superiority of the proposed approach on benchmark test functions.
Journal ArticleDOI
Hybrid teaching–learning-based optimization algorithms for the Quadratic Assignment Problem
TL;DR: This study proposes a set of TLBO-based hybrid algorithms to solve the challenging combinatorial optimization problem, Quadratic Assignment and shows experimentally that the performance of the proposed algorithms are competitive with the best reported algorithms for the solution of the QuadRatic Assignment Problem.
Journal ArticleDOI
Optimization of shell-and-tube heat exchangers using a general design approach motivated by constructal theory
TL;DR: A general optimization design method motivated by constructal theory is proposed for heat exchanger design and can significantly reduce the total cost compared to the methods of original design, traditional genetic algorithm design, and old constructal design.
Journal ArticleDOI
An effective hybrid multi objective evolutionary algorithm for solving real time event in flexible job shop scheduling problem
TL;DR: A new evolutionary based multi-objective teacher learning-based optimization algorithm (MOTLBO) is proposed to solve the complex problem of flexible job shop scheduling problem (FJSSP) to improve the system performance under the condition of machines break down as a real time event.
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Model NOx emissions by least squares support vector machine with tuning based on ameliorated teaching–learning-based optimization
TL;DR: An ameliorated TLBO is proposed called A-TLBO, adopted to adjust the hyper-parameters of least squares support vector machine (LS-SVM) in order to build NOx emissions model of a 330MW coal-fired boiler and obtain a well-generalized model.
References
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Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems
TL;DR: The effectiveness of the TLBO method is compared with the other population-based optimization algorithms based on the best solution, average solution, convergence rate and computational effort and results show that TLBO is more effective and efficient than the other optimization methods.
Journal ArticleDOI
Compact heat exchangers
TL;DR: The third edition of the second edition as discussed by the authors was published in 1964 and contains basic test data for eleven new surface configurations, including some of the very compact ceramic matrices, in both the English and the Systeme International (SI) system of units.
Journal ArticleDOI
Teaching-Learning-Based Optimization: An optimization method for continuous non-linear large scale problems
TL;DR: An efficient optimization method called 'Teaching-Learning-Based Optimization (TLBO)' is proposed in this paper for large scale non-linear optimization problems for finding the global solutions.
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An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems
R. Rao,Vivek Patel +1 more
TL;DR: Elitism concept is introduced in the TLBO algorithm and its effect on the performance of the algorithm is investigated and the effects of common controlling parameters such as the population size and the number of generations on the results are investigated.
Journal ArticleDOI
Heat exchanger design based on economic optimisation
TL;DR: In this paper, a procedure for optimal design of shell and tube heat exchangers is proposed, which utilizes a genetic algorithm to minimize the total cost of the equipment including capital investment and the sum of discounted annual energy expenditures related to pumping.
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