Rameshkumar Krishnaswamy
Rameshkumar Krishnaswamy
Professor of Amrita School of Engineering
Verified email at blr.amrita.edu
TitleCited byYear
Discrete particle swarm optimization (DPSO) algorithm for permutation flowshop scheduling to minimize makespan
K Rameshkumar, R Suresh, K Mohanasundaram
Advances in Natural Computation - Lecture Notes in Computer Science, 572-581, 2005
Application of particle swarm intelligence algorithms in supply chain network architecture optimization
RS Kadadevaramath, JCH Chen, BL Shankar, K Rameshkumar
Expert Systems with Applications 39 (11), 10160-10176, 2012
Optimization of machining parameters in turning process using genetic algorithm and particle swarm optimization with experimental verification
H Ganesan, G Mohankumar, K Ganesan, KR Kumar
International Journal of Engineering Science 3 (2), 1091-1102, 2011
Use of machine learning algorithms for weld quality monitoring using acoustic signature
A Sumesh, K Rameshkumar, K Mohandas, RS Babu
Procedia Computer Science 50, 316-322, 2015
Finite element simulation of effect of residual stresses during orthogonal machining using ALE approach
P Krishnakumar, KP Marimuthu, K Rameshkumar, KI Ramachandran
International Journal of Machining and Machinability of Materials 14 (3 …, 2013
Comparative evaluation of Particle Swarm Optimization Algorithms for Data Clustering using real world data sets
R Karthi, S Arumugam, K Rameshkumar
IJCSNS International Journal of Computer Science and Network Security 8 (1 …, 2008
Tool wear condition prediction using vibration signals in high speed machining (HSM) of titanium (Ti-6Al-4 V) alloy
P Krishnakumar, K Rameshkumar, KI Ramachandran
Procedia Computer Science 50, 270-275, 2015
Discrete particle swarm optimisation algorithms for minimising the completion-time variance of jobs in flowshops
K Rameshkumar, C Rajendran, KM Mohanasundaram
International Journal of Industrial and Systems Engineering 7 (3), 317-340, 2011
A novel discrete PSO algorithm for solving job shop scheduling problem to minimize makespan
K Rameshkumar, C Rajendran
IOP Conference Series: Materials Science and Engineering 310 (1), 012143, 2018
Tool condition monitoring of cylindrical grinding process using acoustic emission sensor
A Arun, K Rameshkumar, D Unnikrishnan, A Sumesh
Materials Today: Proceedings 5 (5), 11888-11899, 2018
A novel particle swarm optimisation algorithm for continuous function optimisation
K Rameshkumar, C Rajendran, KM Mohanasundaram
International Journal of Operational Research 13 (1), 1-21, 2012
Establishing correlation between current and voltage signatures of the arc and weld defects in GMAW process
A Sumesh, K Rameshkumar, A Raja, K Mohandas, A Santhakumari, ...
Arabian Journal for Science and Engineering 42 (11), 4649-4665, 2017
Optimizing Manufacturing and Supply Chain Operations in Logistics Management
K Rajeshwar.S., Mohanasundaram, K.M., SarathChandra
The ICFAI Journal of Supply Chain Management 5 (1), 54-68, 2008
Simulation modelling and development of analytic hierarchy process-based priority dispatching rule for a dynamic press shop
T Mohanavelu, R Krishnaswamy, P Marimuthu
International Journal of Industrial and Systems Engineering 27 (3), 340-364, 2017
Production and distribution scheduling of Supply Chain structure using intelligent Particle Swarm Optimisation algorithm
RS Kadadevaramath, KM Mohanasundaram, K Rameshkumar, ...
International journal of intelligent systems technologies and applications 6 …, 2009
Instant detection of porosity in gas metal arc welding by using probability density distribution and control chart
DT Thekkuden, A Santhakumari, A Sumesh, AHI Mourad, ...
The International Journal of Advanced Manufacturing Technology 95 (9-12 …, 2018
Machine learning based tool condition classification using acoustic emission and vibration data in high speed milling process using wavelet features
KRKIR P. Krishnakumar
Intelligent Decision Technologies 12 (2), 265-282, 2018
Discrete Particle Swarm Optimization Algorithm for Data Clustering
R Karthi, S Arumugam, K Kumar
Nature Inspired Cooperative Strategies for Optimization (NICSO 2008), 75-88, 2009
Acoustic Emission-Based Tool Condition Classification in a Precision High-Speed Machining of Titanium Alloy: A Machine Learning Approach
P Krishnakumar, K Rameshkumar, KI Ramachandran
International Journal of Computational Intelligence and Applications 17 (03 …, 2018
Feature level fusion of vibration and acoustic emission signals in tool condition monitoring using machine learning classifiers
KIR P. Krishnakumar1, K. Rameshkumar
International Journal of Prognostics and Health Management 8 (8), 1-15, 2018
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