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 Hybrid Multi-Objective Chicken Swarm Optimization and Teaching Learning Based Algorithm for Charging Station Placement Problem
TL;DR: A new hybrid multi-objective evolutionary algorithm is developed and deployed in the present work for the optimal allocation of Electric Vehicle (EV) charging stations that amalgamates swarm intelligence with teaching-learning process and inherits the strengths of CSO and TLBO.
Journal ArticleDOI
Time-Cost Trade-off Optimization of Construction Projects using Teaching Learning Based Optimization
Vedat Toğan,M. Azim Eirgash +1 more
TL;DR: To find a set of Pareto front solutions, a multi-objective optimization model which is based on the Teaching- Learning Based Optimization incorporated with the Modified Adaptive Weight approach is proposed and it was found that the MAWA-TLBO algorithm works effectively for the TCTP in construction engineering and management field.
Journal ArticleDOI
An improved TLBO based memetic algorithm for aerodynamic shape optimization
TL;DR: In the proposed TLBO-MA, an adaptive teaching factor, conservation of information inspired operator and multi-meme learning are incorporated to enhance the searching behavior of standard TLBO.
Journal ArticleDOI
A modified teaching–learning-based optimisation algorithm for bi-objective re-entrant hybrid flowshop scheduling
TL;DR: A modified teaching–learning-based optimisation (mTLBO) algorithm is proposed to solve the re-entrant hybrid flowshop scheduling problem (RHFSP) with the makespan and the total tardiness criteria and comparative results show that the proposed mTLBO outperforms the existing algorithms significantly.
Journal ArticleDOI
Thermal design and optimization of fin-and-tube heat exchanger using heat transfer search algorithm
TL;DR: In this paper, the authors explored the use of heat transfer search (HTS) algorithm for thermal design and optimization of a fin-and-tube heat exchanger for specific heat duty requirement.
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.
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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