R
R. Venkata Rao
Researcher at Sardar Vallabhbhai National Institute of Technology, Surat
Publications - 123
Citations - 6427
R. Venkata Rao is an academic researcher from Sardar Vallabhbhai National Institute of Technology, Surat. The author has contributed to research in topics: Optimization problem & Engineering optimization. The author has an hindex of 39, co-authored 117 publications receiving 5470 citations. Previous affiliations of R. Venkata Rao include Synergy University & Shri Mata Vaishno Devi University.
Papers
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BookDOI
Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods
Journal ArticleDOI
An improved teaching-learning-based optimization algorithm for solving unconstrained optimization problems
R. Venkata Rao,Vivek Patel +1 more
TL;DR: The basic TLBO algorithm is improved to enhance its exploration and exploitation capacities by introducing the concept of number of teachers, adaptive teaching factor, tutorial training and self motivated learning.
Journal ArticleDOI
Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm
R. Venkata Rao,Vivek Patel +1 more
TL;DR: 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.
Journal ArticleDOI
Parameter optimization of modern machining processes using teaching-learning-based optimization algorithm
R. Venkata Rao,V. D. Kalyankar +1 more
TL;DR: Comparison between the results obtained by the proposed algorithms and those obtained by different optimization algorithms shows the better performance of the proposed algorithm.
Journal ArticleDOI
A decision making methodology for material selection using an improved compromise ranking method
TL;DR: In this paper, a logical procedure for material selection for a given engineering application is presented based on an improved compromise ranking method considering the material selection attributes and their relative importance for the application considered.