Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm
R. Venkata Rao,Vivek Patel +1 more
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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Proceedings ArticleDOI
FIR filter design using multiobjective teaching-learning-based optimization
Hon Keung Kwan,Miao Zhang +1 more
TL;DR: The obtained results indicate that MOTLBO compares favorably with multiobjective particle swarm optimization (MOPSO) algorithm.
Journal ArticleDOI
Chaotic quasi-oppositional arithmetic optimization algorithm for thermo-economic design of a shell and tube condenser running with different refrigerant mixture pairs
Journal ArticleDOI
Parametric investigation of a non-constant cross sectional area air to air heat exchanger
TL;DR: In this paper, an intricate design based on an hexagonal mesh is proposed for the cross-sectional area of the heat exchanger with aims to explore the performance gains that can be obtained by exploiting the capabilities and benefits offered by modern fabrication techniques such as additive manufacturing.
Journal ArticleDOI
Multi-objective Optimization of Electrical Discharge Machining of Nimonic 75 using Teaching Learning Based Optimization (TLBO) Algorithm
Maninder Singh,Shankar Singh +1 more
TL;DR: In this article, the multi-objective optimization of performance measures namely material removal rate (MRR) and surface roughness (SR) have been carried out using teaching learning based optimization (TLBO) algorithm.
Journal ArticleDOI
Multi-Objective parametric optimization during micro-EDM drilling of Ti-6Al-4 V using teaching learning Based optimization algorithm
TL;DR: In this article , the authors investigated responses such as drilling rate (DR) and tool wear rate (TWR) experimentally for electric discharge machining (EDM) during micro-hole drilling on titanium alloy with brass tool.
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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