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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Book ChapterDOI
A Survey on Teaching–Learning-Based Optimization Algorithm: Short Journey from 2011 to 2017
TL;DR: A survey is conducted on TLBO and its variants along with the discussion on its range of applications from 2011 to 2017.
Journal ArticleDOI
Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding
TL;DR: A survey and analysis associated with modern compartment of NIOA engineered upon the perception of human behavior and intelligence is presented in this paper , stressing on its theoretical foundations, applications, open research issues and their implications on color satellite image segmentation to further develop Multi-Level Thresholding (MLT) models.
Journal ArticleDOI
Multi-criteria decision-making under uncertainty conditions of a shell-and-tube heat exchanger
Wagner Henrique Saldanha,Felipe Raul Ponce Arrieta,Petr Iakovlevitch Ekel,Thiago Melo Machado-Coelho,Gustavo Luís Soares +4 more
TL;DR: In this paper, the authors investigated a shell-and-tube heat exchanger (STHE) model with single-phase flow in the shell and tubes, and the objective functions required a heat transfer area and the pumping power was optimized using a multi-objective particle swarm optimisation (MOPSO) algorithm.
Journal ArticleDOI
A Novel Teaching-Learning-Based Optimization with Error Correction and Cauchy Distribution for Path Planning of Unmanned Air Vehicle.
Zhibo Zhai,Guoping Jia,Kai Wang +2 more
TL;DR: A novel version of TLBO that is augmented with error correction strategy and Cauchy distribution (ECTLBO) in which Cauche distribution is utilized to expand the searching space and error correction to avoid detours to achieve more accurate solutions.
Journal ArticleDOI
A reformative teaching–learning-based optimization algorithm for solving numerical and engineering design optimization problems
TL;DR: A reformative TLBO (RTLBO) algorithm with three modifications, an improved teaching method, a self-learning phase and a mutation phase, is proposed to significantly improve the performance of the TLBO algorithm.
References
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Journal ArticleDOI
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.
Journal ArticleDOI
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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