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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An improved whale optimization algorithm for solving multi-objective design optimization problem of PFHE
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A novel hybrid MOL-TLBO optimized techno-economic-socio analysis of renewable energy mix in island mode
Ranjeeta Khare,Yogendra Kumar +1 more
TL;DR: In this paper, a novel hybrid many optimizing liaisons (MOL) and teaching-learning based optimization (TLBO) is proposed for the optimization of integrated hybrid renewable energy sources (IHRES) for techno-economicsocio analysis.
Journal ArticleDOI
Stepping ahead Firefly Algorithm and hybridization with evolution strategy for global optimization problems
TL;DR: A new modification of FA is proposed by introducing a novel and unique stepping ahead parameter and a new design of a hybrid of the newly modified FA with Covariance Matrix Adaptation Evolution Strategy (CMAES) to improve the exploitation further while maintaining good exploration in the fireflies is presented.
Journal ArticleDOI
Comprehensive modelling, analysis and optimization of furan resin-based moulding sand system with sawdust as an additive
Ganesh R. Chate,G C Manjunath Patel,S. N. Bharath Bhushan,Mahesh B. Parappagoudar,Anand S. Deshpande +4 more
TL;DR: In this paper, the effect of variables, namely quantity of resin, hardener, sawdust and setting time, on no-bake furan-bonded sand system is studied.
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A multi-objective optimization design for a new linear compliant mechanism
TL;DR: A hybrid optimization approach for multi-criteria optimal design of a compliant positioning platform for nanoindentation tester that mimics the biomechanical behavior of beetle so as to allow a linear motion is developed.
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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