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
Testing the performance of teaching-learning based optimization (TLBO) algorithm on combinatorial problems
TL;DR: Experimental results show that the TLBO algorithm has a considerable potential when compared to the best-known heuristic algorithms for scheduling problems.
Journal ArticleDOI
An improved teaching-learning-based optimization algorithm for numerical and engineering optimization problems
Kunjie Yu,Xin Wang,Zhenlei Wang +2 more
TL;DR: An improved TLBO (ITLBO) is proposed, in which a feedback phase, mutation crossover operation of differential evolution (DE) algorithms, and chaotic perturbation mechanism are incorporated to significantly improve the performance of the algorithm.
Journal ArticleDOI
Comparative performance of an elitist teaching-learning-based optimization algorithm for solving unconstrained optimization problems
R. Rao,Vivek Patel +1 more
TL;DR: The proposed elitist TLBO algorithm is tested on 76 unconstrained benchmark functions with different characteristics and the performance of the algorithm is compared with that of other well known optimization algorithms.
Journal ArticleDOI
Multi-objective optimization using teaching-learning-based optimization algorithm
TL;DR: A teaching-learning-based optimization (TLBO) algorithm for multi-objective optimization problems (MOPs) that adopts the nondominated sorting concept and the mechanism of crowding distance computation.
Journal ArticleDOI
A discrete teaching-learning-based optimisation algorithm for realistic flowshop rescheduling problems
TL;DR: Experimental comparisons on 90 realistic flowshop rescheduling instances with other efficient algorithms indicate that the proposed DTLBO algorithm is competitive in terms of its searching quality, robustness, and efficiency.
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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R. Rao,Vivek Patel +1 more