M.V.C. Rao - Concepedia

Author

M.V.C. Rao

Also Known As

M. V. C. RAO, M. V. C. Rao, M. V. RAO, M. V. Rao, M.V. Rao, M.V.C. RAO, M.V.C. Rao, Meng Rao, Muralikrishna Rao, Rao, M.V.

Publications

1.9K

Citations

H-Index

Concepts

All Affiliations

Multimedia University Indian Institute of Technology Madras Madurai Medical College

About

M.V.C. Rao is an author at Multimedia University specializing in engineering, systems engineering, and computer engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	21	1.5K
2	Business	1	1	77
3	Natural Sciences	1	1	22
4	Public Health	1	1	53
5	Applied Physics	1	1	22

M.V.C. Rao

Publications

1.7K

Citations

H-Index

Page 1

	Year	Citations
A Novel Approach for Unit Commitment Problem via an Effective Hybrid Particle Swarm Optimization T. O. Ting, M.V.C. Rao, Chu Kiong Loo IEEE Transactions on Power Systems Unit CommitmentEngineeringHybrid AlgorithmEnergy EfficiencyEnergy Management	2006	442
On the improved performances of the particle swarm optimization algorithms with adaptive parameters, cross-over operators and root mean square (RMS) variants for computing optimal control of a class of hybrid systems M. Senthil Arumugam, M.V.C. Rao Applied Soft Computing Differential EvolutionOptimal ControlEngineeringHybrid AlgorithmAerospace Engineering	2007	199
Hybrid real coded genetic algorithm solution to economic dispatch problem S. Baskar, P. Subbaraj, M.V.C. Rao Computers & Electrical Engineering Mathematical ProgrammingMemetic AlgorithmEngineeringGenetic Algorithm SolutionIndustrial Engineering	2002	129
A new and improved version of particle swarm optimization algorithm with global–local best parameters M. Senthil Arumugam, M.V.C. Rao, Aarthi Chandramohan Knowledge and Information Systems Hybrid AlgorithmIntelligent OptimizationGenetic AlgorithmImproved VersionGlobal–local Best Parameters	2007	88
New hybrid genetic operators for real coded genetic algorithm to compute optimal control of a class of hybrid systems M. Senthil Arumugam, M.V.C. Rao, Ramaswamy Palaniappan Applied Soft Computing EngineeringOptimal ControlGenetic AlgorithmsHybrid AlgorithmGenetic Algorithm	2005	83
On the performance of the particle swarm optimization algorithm with various inertia weight variants for computing optimal control of a class of hybrid systems M. Senthil Arumugam, M.V.C. Rao Discrete Dynamics in Nature and Society EngineeringMechanical EngineeringSmart ManufacturingSystem OptimizationGenetic Algorithm	2006	77
Solving Unit Commitment Problem Using Hybrid Particle Swarm Optimization T. O. Ting, M.V.C. Rao, Chu Kiong Loo, Journal of Heuristics Unit CommitmentEngineeringHybrid AlgorithmEnergy ManagementSystems Engineering	2003	76
A novel and effective particle swarm optimization like algorithm with extrapolation technique M. Senthil Arumugam, M.V.C. Rao, Alan W.C. Tan Applied Soft Computing Hybrid AlgorithmFirefly AlgorithmIntelligent OptimizationGenetic AlgorithmHybrid Optimization Technique	2008	76
A hybrid neural network model for rule generation and its application to process fault detection and diagnosis Shing Chiang Tan, Chee Peng Lim, M.V.C. Rao Engineering Applications of Artificial Intelligence Fault DiagnosisRule GenerationFuzzy LogicReliability EngineeringMachine Learning	2006	55
Accurate and reliable diagnosis and classification using probabilistic ensemble simplified fuzzy ARTMAP Chu Kiong Loo, M.V.C. Rao IEEE Transactions on Knowledge and Data Engineering EngineeringMachine LearningIntelligent DiagnosticsDiagnosisReliable Diagnosis	2005	53

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