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
The New Adaptive ETLBO Algorithms with K-Armed Bandit Model
TL;DR: An improved adaptive ETLBO algorithm AETLBO-KAB that is based on K-armed bandit model is proposed that is effective and brings dramatic improvement compared with TLBO and ETlBO.
Journal ArticleDOI
Modeling and Optimization of Simulated Moving Bed for Paraxylene Purification
TL;DR: In this paper, a simulation and optimization of industrial-scale simulated moving bed for para-xylene purification from a mixture of C8 aromatics is presented, where the separation process was modeled using true moving bed modeling.
Book ChapterDOI
An Industrial Heat Exchanger Optimization from Economic View Point
TL;DR: This study explores the application of heat transfer search (HTS) algorithm, a recently developed advanced optimization technique, for design optimization of an industrial shell and tube heat exchangers from economic viewpoint.
Journal Article
A New Fuzzy based Evolutionary Optimization for Job Scheduling with TLBO
TL;DR: Experimental results have shown the efficiency and prominence of new proposed algorithm in producing optimal solutions for the selected benchmark job scheduling problems compared to other algorithms.
Journal ArticleDOI
An intelligent plate fin-and-tube heat exchanger design system through integration of CFD, NSGA-II, ANN and TOPSIS
TL;DR: In this article , an intelligent plate fin-and-tube heat exchanger (PFTHE) design system, which is entirely self-programming, was developed to achieve quickly design, and the proposed design system consists of four modules: (1) formulation, (2) optimization, (3) post-processing, and (4) decision-making).
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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