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Dr. Ramesh Kumar K.

Chairman | Professor, Department of Mechanical Engineering, School of Engineering, Coimbatore

Qualification: BE, M.E, Ph.D
k_rameshkumar@cb.amrita.edu

Bio

K. Ramesh Kumar currently serves as Chairman and Professor at the Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore.

Educational Qualification

  • 2007: Ph.D. in Production Engineering
    PSG College of Technology, Coimbatore
    Affiliated to Bharathiar University, Coimbatore, India
  • 1991: Master of Engineering (M.E.) in Mechanical Engineering (Specialization in Production Engineering)
    Bharathiar University
  • 1990: Bachelor of Engineering (B.E.) in Mechanical Engineering
    Bharathiar University, Coimbatore.

Career Profile

Academic and Research
Year/Duration Affiliation
September 1, 2016 – Present Professor, Department of Mechanical Engineering, School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham
July 1, 2013 – June 30, 2015 Principal and Professor, Department of Mechanical Engineering, Asian College of Engineering and Technology, Coimbatore
October 1, 2007 – July 1, 2013 Professor, Department of Mechanical Engineering, School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham
January 1, 2004 – September 30, 2007 Assistant Professor, Department of Mechanical Engineering, School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham
May 22, 2000 – December 31, 2003 Sr. Lecturer, Department of Mechanical Engineering, School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham
2 Years Faculty, Department of Engineering, College of Technology (Muscat & Ibra), Ministry of Manpower, Sultanate of Oman (On Sabbatical leave)
3 Years Sr. Lecturer, Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore
Industry
Year/Duration Affiliation
1 Year and 3 months Engineer- Mechanical (Design of Antenna components and fabrication) at Clear Vision Cables
4 Years and 3 months Project Engineer (Technical Services: 150 TPD staple fiber manufacturing plant) at SIV Industries Limited, Coimbatore

Research Interest

  • Machine tool condition monitoring using machine learning algorithms – Vibration and Acoustic Emission (AE) techniques – Signal processing in time, frequency and wavelet domains
  • Weld quality assessment using voltage and current signatures – Development of real-time weld quality monitoring system
  • High speed machining – Machining dynamics
  • Solving discrete and continuous optimization problems using evolutionary algorithms
  • System modelling and optimization using discrete event simulation packages

Funded Projects

  1. All India Council for Technical Education (AICTE), MODROB, Modernizing Metallurgy lab (Completed), (Collaborating faculty members : Dr.R.Sellamuthu – ASE, Coimbatore)
  2. Defence Research & Development nization (DRDO), Process Monitoring and Control for Ultra Precision Machining of Titanium Alloys, (Completed) – Co-Principal Investigator. (Collaborating faculty members : Dr.K.I.Ramachandran (PI), and P.Krishnakumar – ASE, Coimbatore)
  3. Defence Research & Development Organization (DRDO), Fault diagnosis of dynamic mechanical systems (gear box) based on signal processing using machine learning techniques. (Completed) – Co-Principal Investigator. (Collaborating faculty members: Dr.K.I.Ramachandran (PI), Dr.M.Sai Murugan, and P.Krishnakumar – ASE, Coimbatore).
  4. Aeronautical Research and Development Board (AR&DB) – Investigations into the surface integrity of titanium alloys during High Speed Machining – Co-Principal Investigator. (Collaborating faculty members : Dr.K.I.Ramachandran (PI), and P.Krishnakumar – ASE, Coimbatore)

Awards

  • Best Paper Award: Rameshkumar, K., Rajendran, Karthi, R., (2011). Modified Discrete Particle Swarm Optimization Algorithm (MDPSOA) for static permutation flowshop scheduling to minimize total flow time of jobs, Proceedings in Emerging Trends in Industrial Engineering, ETIE NIT Calicut.

 

Publications

Journal Article

Year : 2020

Hidden Markov Modelling of High-Speed Milling (HSM) Process Using Acoustic Emission (AE) Signature for Predicting Tool Conditions

Cite this Research Publication : S. P. Krishnan, K. Ramesh Kumar, and Krishna Kumar P., “Hidden Markov Modelling of High-Speed Milling (HSM) Process Using Acoustic Emission (AE) Signature for Predicting Tool Conditions”, Advances in Materials and Manufacturing Engineering, 2020.

Publisher : Advances in Materials and Manufacturing Engineering

Year : 2020

GMAW Process Parameter Optimization to Reduce Porosity Defect in a Longitudinal Seam Welding of Pressure Vessels

Cite this Research Publication : A. Kuppusamy, K. Ramesh Kumar, A. Sumesh, and Premkumar, S., “GMAW Process Parameter Optimization to Reduce Porosity Defect in a Longitudinal Seam Welding of Pressure Vessels”, SAE Int. J. Mater. Manuf., vol. 13, no. 1, 2020.

Publisher : SAE Int. J. Mater. Manuf.

Year : 2020

Influence of oil injection parameters on the performance of diesel powered screw air compressor for water well application

Cite this Research Publication : K. K. Dhayanandh, K. Ramesh Kumar, A. Sumesh, and Lakshmanan, N., “Influence of oil injection parameters on the performance of diesel powered screw air compressor for water well application”, Measurement, vol. 152, p. 107323, 2020.

Publisher : Measurement

Year : 2020

Development and selection of hybrid dispatching rule for dynamic job shop scheduling using multi-criteria decision making analysis (MCDMA)

Cite this Research Publication : M. Thennarasu, K. Ramesh Kumar, Dr. Anbuudayasankar S. P., Arjunbarath, G., and P. Ashok, “Development and selection of hybrid dispatching rule for dynamic job shop scheduling using multi-criteria decision making analysis (MCDMA)”, International Journal for Quality Research, vol. 14, no. 2, pp. 487-504., 2020.

Publisher : International Journal for Quality Research,

Year : 2019

Numerical modeling of Flux assisted Gas Tungsten Arc Welding (F-GTAW) process of Duplex Stainless Steel (DSS)

Cite this Research Publication : N Rakesh, K. Ramesh Kumar, Mohanan, A., K Valsan, V., Sandeep, S., and Prasad, H., “Numerical modeling of Flux assisted Gas Tungsten Arc Welding (F-GTAW) process of Duplex Stainless Steel (DSS)”, Journal of Physics: Conference Series, vol. 1172, p. 012019, 2019.

Publisher : Journal of Physics: Conference Series, IOP Publishing

Year : 2019

Multi-criteria decision making approach for minimizing makespan in a large scale press-shop

Cite this Research Publication : M. Thennarasu, K. Ramesh Kumar, and Dr. Anbuudayasankar S. P., “Multi-criteria decision making approach for minimizing makespan in a large scale press-shop”, International Journal of Industrial Engineering: Theory Applications and Practice, vol. 26, no. 6, pp. 962-985, 2019.

Publisher : International Journal of Industrial Engineering: Theory Applications and Practice

Year : 2018

Feature level fusion of vibration and acoustic emission signals in tool condition monitoring using machine learning classifiers

Cite this Research Publication : Krishna Kumar P., K. Ramesh Kumar, and Dr. K. I. Ramachandran, “Feature level fusion of vibration and acoustic emission signals in tool condition monitoring using machine learning classifiers”, International Journal of Prognostics and Health Management, vol. 9, no. 8, pp. 2153-2648, 2018.


Publisher : International Journal of Prognostics and Health Management, Prognostics and Health Management Society

Year : 2018

Bottleneck Identification in a Tyre Manufacturing Plant Using Simulation Analysis and Productivity Improvement

Cite this Research Publication : S. Krishnan, A. Dev, S., Suresh, R., A. Sumesh, and K. Ramesh Kumar, “Bottleneck identification in a tyre manufacturing plant using simulation analysis and productivity improvement”, Materials Today: Proceedings, vol. 5, pp. 24720 - 24730, 2018.

Publisher : Materials Today: Proceedings

Year : 2018

Machine Learning Based Tool Condition classification using AE and Vibration data in a High Speed Milling Process Using Wavelet Features

Cite this Research Publication : K. Ramesh Kumar, Krishna Kumar P., and Ramachandran, K. I., “Machine Learning Based Tool Condition classification using AE and Vibration data in a High Speed Milling Process Using Wavelet Features”, Intelligent Decision Technologies: An International Journal, 2018.

Publisher : Intelligent Decision Technologies: An International Journal

Year : 2018

A novel Discrete PSO Algorithm for Solving Job Shop Scheduling Problem to Minimize Makespan

Cite this Research Publication : K. Ramesh Kumar and Rajendran, C., “A novel discrete PSO algorithm for solving job shop scheduling problem to minimize makespan”, IOP Conference Series: Materials Science and Engineering, vol. 310, p. 012143, 2018.

Publisher : IOP Conference Series: Materials Science and Engineering, IOP Publishing

Year : 2017, 2018

Optimizing Bi-objective, Multi-echelon Supply Chain Model Using Particle Swarm Intelligence Algorithm

Cite this Research Publication : Sathishkumar V. R., S. P. Anbuudayasankar, and K. Ramesh Kumar, “Optimizing Bi-objective, Multi-echelon Supply Chain Model using Particle Swarm Intelligence Algorithm”, IOP Conference Series: Materials Science and Engineering, vol. 310, p. 012025, 2018.

Publisher : IOP Conference Series: Materials Science and Engineering, IOP Publishing,

Year : 2018

Machine learning based tool condition classification using acoustic emission and vibration data in high speed milling process using wavelet features

Cite this Research Publication : P. Krishnakumar, K. Ramesh Kumar, and Dr. K. I. Ramachandran, “Machine learning based tool condition classification using acoustic emission and vibration data in high speed milling process using wavelet features”, Intelligent Decision Technologies, vol. 12, pp. 1-18, 2018.

Publisher : Intelligent Decision Technologies .

Year : 2018

Acoustic Emission-Based Tool Condition Classification in a Precision High-Speed Machining of Titanium Alloy: A Machine Learning Approach

Cite this Research Publication : P. Krishnakumar, K. Ramesh Kumar, and RAMACHANDRAN, K. I., “Acoustic Emission-Based Tool Condition Classification in a Precision High-Speed Machining of Titanium Alloy: A Machine Learning Approach”, International Journal of Computational Intelligence and Applications, vol. 17, p. 1850017, 2018.

Publisher : International Journal of Computational Intelligence and Applications, Volume 17, Number 03, p.1850017 (2018).

Year : 2018

Instant Detection of Porosity in gas metal arc welding by using probability density distribution and control chart

Cite this Research Publication : Dinu Thomas Thekkuden, Santhakumari, A., A. Sumesh, Abdel-Hamid I. Mourad, and K. Ramesh Kumar, “Instant Detection of Porosity in gas metal arc welding by using probability density distribution and control chart”, The International Journal of Advanced Manufacturing Technology, vol. 95, no. 9-12 , pp. 4583–4606, 2018.

Publisher : The International Journal of Advanced Manufacturing Technology

Year : 2018

Extension of PSO and ACO-PSO Algorithms for Solving Quadratic Assignment Problems

Cite this Research Publication : K. Ramesh Kumar, “Extension of PSO and ACO-PSO algorithms for solving Quadratic Assignment Problems”, IOP Conference Series: Materials Science and Engineering, vol. 377, p. 012192, 2018.

Publisher : IOP Conference Series: Materials Science and Engineering

Year : 2018

Acoustic emission based tool condition classification in a precision high speed machining of titanium alloy (Ti-6Al-4V): A machine learning approach

Cite this Research Publication : Krishna Kumar P., K. Ramesh Kumar, and Dr. K. I. Ramachandran, “Acoustic emission based tool condition classification in a precision high speed machining of titanium alloy (Ti-6Al-4V): A machine learning approach”, International Journal of Computational Intelligence and Applications, vol. 17, 2018.

Publisher : International Journal of Computational Intelligence and Applications, World Scientific Publishing Co

Year : 2017

Simulation Modeling and Development of Analytic Hierarchy Process (AHP) based Priority Dispatching Rule (PDR) for a Dynamic Press Shop

Cite this Research Publication : K. Ramesh Kumar, M. Thennarasu, and Prakash, M., “Simulation Modeling and Development of Analytic Hierarchy Process (AHP) based Priority Dispatching Rule (PDR) for a Dynamic Press Shop”, International Journal of Industrial and systems engineering, vol. 27, no. 3, pp. 340-364, 2017.

Publisher : International Journal of Industrial and systems engineering

Year : 2017

Establishing Correlation Between Current and Voltage Signatures of the Arc and Weld Defects in GMAW Process

Cite this Research Publication : A. Sumesh, K. Ramesh Kumar, Raja, A., K. Mohandas, Santhakumari, A., and Shyambabu, R., “Establishing Correlation Between Current and Voltage Signatures of the Arc and Weld Defects in GMAW Process”, Arabian Journal for Science and Engineering, vol. 42, pp. 4649-4665, 2017.

Publisher : Arabian Journal for Science and Engineering

Year : 2017

Construction of a Low Cost Cutting Tool Dynamometer and Static Calibration of Measuring Cutting Force in a CNC Milling Machine

Cite this Research Publication : S. Hameed Syed and K. Ramesh Kumar, “Construction of a Low Cost Cutting Tool Dynamometer and Static Calibration of Measuring Cutting Force in a CNC Milling Machine”, SAE Technical Papers, 2017.

Publisher : SAE Technical Paper

Year : 2017, 2018

Optimizing Bi-objective, Multi-echelon Supply Chain Model Using Particle Swarm Intelligence Algorithm

Cite this Research Publication : Sathishkumar V. R., S. P. Anbuudayasankar, and K. Ramesh Kumar, “Optimizing Bi-objective, Multi-echelon Supply Chain Model using Particle Swarm Intelligence Algorithm”, IOP Conference Series: Materials Science and Engineering, vol. 310, p. 012025, 2018.

Publisher : IOP Conference Series: Materials Science and Engineering, IOP Publishing,

Year : 2015

Use of Machine Learning Algorithms for Weld Quality Monitoring using Acoustic Signature

Cite this Research Publication : A. Sumesh, K. Ramesh Kumar, Mohandas, K., and R. Babu, S., “Use of Machine Learning Algorithms for Weld Quality Monitoring using Acoustic Signature”, Procedia Computer Science, vol. 50, pp. 316 - 322, 2015.

Publisher : Procedia Computer Science

Year : 2015

Acoustic Signature Based Weld Quality Monitoring for SMAW Process Using Data Mining Algorithms

Cite this Research Publication : A. Sumesh, Dinu Thomas Thekkuden, Dr. Binoy B. Nair, K. Ramesh Kumar, and K. Mohandas, “Acoustic Signature Based Weld Quality Monitoring for SMAW Process Using Data Mining Algorithms”, Applied Mechanics and Materials , vol. 813-814, pp. 1104-1113, 2015.

Publisher : Trans Tech Publications

Year : 2013

Finite element simulation of effect of residual stresses during orthogonal machining using ALE

Cite this Research Publication : Prakash Marimuthu K., Krishna Kumar P., K. Ramesh Kumar, and Dr. K. I. Ramachandran, “Finite element simulation of effect of residual stresses during orthogonal machining using ALE approach”, International Journal of Machining and Machinability of Materials, vol. 14, pp. 213–229, 2013.

Publisher : International Journal of Machining and Machinability of Materials, Inderscience

Year : 2012

Application of Particle Swarm Intelligence Algorithms in Supply Chain Network Architecture Optimization

Cite this Research Publication : R. S. Kadadevaramath, Chen, J. C. H., B. Shankar, L., and K. Ramesh Kumar, “Application of Particle Swarm Intelligence Algorithms in Supply Chain Network Architecture Optimization”, Expert Systems with Applications, vol. 39, pp. 10160 - 10176, 2012.

Publisher : Expert Systems with Applications

Year : 2012

A novel particle swarm optimisation algorithm for continuous function optimisation

Cite this Research Publication : K. Ramesh Kumar, Rajendran, Cb, and Mohanasundaram, K. Mc, “A novel particle swarm optimisation algorithm for continuous function optimisation”, International Journal of Operational Research, vol. 13, pp. 1-21, 2012.

Publisher : International Journal of Operational Research

Year : 2011

Optimization of machining parameters in turning process using genetic algorithm and particle swarm optimization with experimental verification

Cite this Research Publication : H. Ganesan, .G., M., Ganesan, K., and K. Ramesh Kumar, “Optimization of machining parameters in turning process using genetic algorithm and particle swarm optimization with experimental verification”, International Journal of Engineering Science and Technology, vol. 3, pp. 1091-1102, 2011.

Publisher : International Journal of Engineering Science and Technology

Year : 2011

Neighborhood search assisted particle swarm optimization (NPSO) algorithm for partitional data clustering problems

Cite this Research Publication : R. Karthi, Rajendran, Cb, and K. Ramesh Kumar, “Neighborhood search assisted particle swarm optimization (NPSO) algorithm for partitional data clustering problems”, Communications in Computer and Information Science, vol. 192 CCIS, pp. 552-561, 2011

Publisher : Communications in Computer and Information Science

Year : 2011

Discrete particle swarm optimisation algorithms for minimising the completion-time variance of jobs in flowshops

Cite this Research Publication : K. Ramesh Kumar, Rajendran, Cb, and Mohanasundaram, K. Mc, “Discrete particle swarm optimisation algorithms for minimising the completion-time variance of jobs in flowshops”, International Journal of Industrial and Systems Engineering, vol. 7, pp. 317-340, 2011.

Publisher : International Journal of Industrial and Systems Engineering

Year : 2009

Profit Optimisation in Three Echelon Supply Chain Revenue Management Through New heuristic Optimiser

Cite this Research Publication : R. S. Kadadevaramath, Prasad, P. S. S., Mohanasundaram, K. M., Immanuel, E. A., and K. Ramesh Kumar, “Profit Optimisation in Three Echelon Supply Chain Revenue Management Through New heuristic Optimiser”, International Journal of Revenue Management, vol. 3, pp. 79-101, 2009.

Publisher : International Journal of Revenue Management

Year : 2009

Production and Distribution Scheduling of Supply Chain Structure Using Intelligent Particle Swarm Optimization

Cite this Research Publication : R. .S., Mohanasudaram, K. M., K. Ramesh Kumar, and Chandrasekar, B., “Production and Distribution Scheduling of Supply Chain Structure Using Intelligent Particle Swarm Optimization”, International Journal of Intelligent Systems Technology &Applications (IJISTA), vol. 6, pp. 249-269, 2009.

Publisher : International Journal of Intelligent Systems Technology &Applications (IJISTA)

Conference Paper

Year : 2021

Acoustic Emission-Based Grinding Wheel Sharpness Monitoring Using Machine Learning Classifier

Cite this Research Publication : J. Revant, Kumar, R. Sree, K. Ramesh Kumar, and Mouli, D. S. B., “Acoustic Emission-Based Grinding Wheel Sharpness Monitoring Using Machine Learning Classifier”, in Trends in Manufacturing and Engineering Management (Lecture Notes in Mechanical Engineering), Singapore, 2021.

Publisher : Trends in Manufacturing and Engineering Management

Year : 2018

Decision Tree Based Weld Defect Classification using Current and Voltage Signatures in GMAW Process

Cite this Research Publication : A. Sumesh, Dr. Binoy B. Nair, K. Ramesh Kumar, Santhakumari, A., Raja, A., and Mohandas, K., “Decision tree based weld defect classification using current and voltage signatures in GMAW process”, in Materials Today: Proceedings, 2018, vol. 5, pp. 8354-8363.

Publisher : Materials Today: Proceedings,

Year : 2017, 2018

Extension of PSO and ACO-PSO Algorithms for Solving Quadratic Assignment Problems

Cite this Research Publication :
K. Ramesh Kumar, “Extension of PSO and ACO-PSO Algorithms for Solving Quadratic Assignment Problems”, in ICMMRE 2017, 2017.

Publisher : ICMMRE 2017

Year : 2017

Simulation of Whole Field Isochromatics of Contact Zones Involving Conformal Geometries Using Complex Potential Approach

Cite this Research Publication : Hariprasad M. P., Bhagyashree C. Prabhune, and Ramesh K., “Simulation of Whole Field Isochromatics of Contact Zones Involving Conformal Geometries Using Complex Potential Approach”, in Indian Conference on Applied Mechanics (INCAM), (2017), 2017.

Publisher : Indian Conference on Applied Mechanics (INCAM),

Year : 2017

Contact Zone Evaluation of Dental Implants Using Digital Photoelasticity

Cite this Research Publication : Hariprasad M. P. and Ramesh K., “Contact Zone Evaluation of Dental Implants Using Digital Photoelasticity”, in Mechanics of Biological Systems and Materials Volume 6: Proceedings of the Society for Experimental Mechanics Series, 2017.

Publisher : Mechanics of Biological Systems and Materials Volume 6: Proceedings of the Society for Experimental Mechanics Series

Year : 2017, 2018

Extension of PSO and ACO-PSO Algorithms for Solving Quadratic Assignment Problems

Cite this Research Publication :
K. Ramesh Kumar, “Extension of PSO and ACO-PSO Algorithms for Solving Quadratic Assignment Problems”, in ICMMRE 2017, 2017.

Publisher : ICMMRE 2017

Year : 2017

Decision Tree Based Weld Defect Classification using Current and Voltage Signatures in GMAW Process

Publisher : IMME 2017

Year : 2013

Weld parameter optimization for SMAW process using Central Composite Design

Cite this Research Publication : A. Sumesh, Srikant. G. V., K. Ramesh Kumar, Rajasekaran. N, and Shyambabu. R, “Weld parameter optimization for SMAW process using Central Composite Design ”, in IWSCWS, 2013.

Publisher : IWSCWS

Conference Proceedings

Year : 2017, 2018

Tool Condition Monitoring of Cylindrical Grinding Process Using Acoustic Emission Sensor

Cite this Research Publication : A. A., K. Ramesh Kumar, Unnikrishnan D., and A. Sumesh, “Tool Condition Monitoring of Cylindrical Grinding Process Using Acoustic Emission Sensor”, ICMMM2017, Materials Today: Proceedings, vol. 5(5). VIT, Vellore campus, India, pp. 11888-11899, 2018.



Publisher : ICMMM2017, Materials Today: Proceedings,

Year : 2017, 2018

Tool Condition Monitoring of Cylindrical Grinding Process Using Acoustic Emission Sensor

Cite this Research Publication : A. A., K. Ramesh Kumar, Unnikrishnan D., and A. Sumesh, “Tool Condition Monitoring of Cylindrical Grinding Process Using Acoustic Emission Sensor”, ICMMM2017, Materials Today: Proceedings, vol. 5(5). VIT, Vellore campus, India, pp. 11888-11899, 2018.



Publisher : ICMMM2017, Materials Today: Proceedings,

Year : 2017

Optimizing Bi-objective, Multi-echelon Supply Chain Model Using Particle Swarm Intelligence Algorithm

Cite this Research Publication : V. R. Sathish Kumar, Dr. Anbuudayasankar S. P., and K. Ramesh Kumar, “Optimizing Bi-objective, Multi-echelon Supply Chain Model Using Particle Swarm Intelligence Algorithm”, IConAmma 2017. 2017.

Publisher : IConAmma 2017

Year : 2009

A Novel Discrete Particle Swarm Clustering Algorithm for Data Clustering

Cite this Research Publication : R. Karthi, Arumugam, S., and K. Ramesh Kumar, “A Novel Discrete Particle Swarm Clustering Algorithm for Data Clustering”, COMPUTE '09 Proceedings of the 2nd Bangalore Annual Compute Conference, vol. 16. ACM, New York, NY, USA, 2009.

Publisher : COMPUTE '09 Proceedings of the 2nd Bangalore Annual Compute Conference

Year : 2005

Discrete Particle Swarm Optimization (DPSO) Algorithm for Permutation Flowshop Scheduling to Minimize Makespan

Cite this Research Publication : K. Ramesh Kumar, Suresh, R. K., K., M., and .M, K., “Discrete Particle Swarm Optimization (DPSO) Algorithm for Permutation Flowshop Scheduling to Minimize Makespan”, Lecture Notes in Computer Science (LNCS), vol. 3612. pp. 572 – 581, 2005.

Publisher : Lecture Notes in Computer Science (LNCS)

Book Chapter

Year : 2020

Acoustic Emission-Based Grinding Wheel Condition Monitoring Using Decision Tree Machine Learning Classifiers

Cite this Research Publication : D. Mouli and K. Ramesh Kumar, “Acoustic Emission-Based Grinding Wheel Condition Monitoring Using Decision Tree Machine Learning Classifiers”, in Mechanical Engineering, Singapore: Springer, 2020, pp. 353-359.

Publisher : Mechanical Engineering

Year : 2009

Discrete Particle Swarm Optimization Algorithm for Data Clustering

Cite this Research Publication : R. Karthi, Arumugam, S., and K. Ramesh Kumar, “Discrete Particle Swarm Optimization Algorithm for Data Clustering”, in Nature Inspired Cooperative Strategies for Optimization (NICSO 2008) , Springer-Verlag, Berlin, Heidel berg, vol. 236, 2009, pp. 75 - 88.

Publisher : Nature Inspired Cooperative Strategies for Optimization (NICSO 2008) ,

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