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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Journal ArticleDOI
Modality of teaching learning based optimization algorithm to reduce the consistency ratio of the pair-wise comparison matrix in analytical hierarchy processing
Prashant Borkar,M. V. Sarode +1 more
TL;DR: This research work proposes a simple, effective and efficient method which will minimize the CR to almost zero while preserving the judgment values in pair-wise comparison matrix.
Journal ArticleDOI
A multi-objective elitist feedback teaching–learning-based optimization algorithm and its application
TL;DR: In this paper , a multi-objective elitist feedback teaching-learning-based optimization (MEFTO) algorithm for multiobjective optimization problems is presented. And the performance of the MEFTO algorithm is compared with seven other well-known algorithms by using a set of unconstrained benchmark test problems and three constrained engineering optimization problems.
Proceedings ArticleDOI
A simultaneous perturbation stochastic approximation enhanced teaching-learning based optimization
TL;DR: A TLBO-based memetic algorithm is proposed, in which simultaneous perturbation stochastic approximation (SPSA) is incorporated into the canonical TLBO to enhance its local search capability and balance the global exploration and local exploitation as well.
Journal ArticleDOI
Multi-objective Decision Based Available Transfer Capability in Deregulated Power System Using Heuristic Approaches
TL;DR: In this paper, the authors proposed two heuristic approaches to compute the available transfer capability (ATC) in a deregulated power system, based on which a specific ATC value is selected based on a number of social, economic, deregulated environmental constraints and related to specific applications like optimization, on-line monitoring, and ATC forecasting.
Journal ArticleDOI
Flow field uniformity analysis and structural optimization of coal pyrolysis heat exchanger
TL;DR: In this paper, the authors take existing heat exchanger design structure as the research object minimization and propose a guiding method to guide the design of heat exchangers, which is based on experience and lacks a guided method.
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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