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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Journal ArticleDOI
A Novel Teaching-Learning-Based Optimization with Laplace Distribution and Experience Exchange
TL;DR: An improved version of the TLBO algorithm based on Laplace distribution and Experience exchange strategy (LETLBO) is presented, which enhances the solution accuracy and quality compared to original TLBO and various versions ofTLBO and is very competitive with respect to other very popular and powerful evolutionary algorithms.
Journal ArticleDOI
Test of the layout of the correction circuit with a plate heat exchanger
TL;DR: In this article, a plate heat exchanger is designed with a pulsating valve installed at the outlet to pulsate the heat medium, and the effective temperature difference, heat flow and convective heat transfer coefficient are analyzed by combining the theory of pulse enhanced heat transfer technology.
Journal ArticleDOI
Hybrid teaching-learning with comprehensive learning capability for electromagnetic device design problems
TL;DR: A novel hybrid teaching-learning-based optimization (HTLBO) algorithm is proposed to solve two significant electromagnetic design problems, that is, optimal brushless direct-current motor design and electromagnetic actuator geometric construction design.
Book ChapterDOI
Introduction of Diffusion MRI and Cuckoo Search Algorithm
TL;DR: Medical imaging, especially Magnetic Resonance Imaging (MRI), helps mapping the anatomical and functional aspects of the brain, considered as the substratum of the different functions.
Journal ArticleDOI
Thermo-ecological optimization of shell and tube heat exchanger
TL;DR: In this paper , the effect of various geometric parameters such as tube diameter, shell diameter, pitch, etc. on the ecological and total cost of a shell and tube heat exchanger is studied and discussed.
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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