Solution of Combined Economic Emission Dispatch Problem with Valve-Point Effect using hybrid NSGA II-MOPSO
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Particle Swarm Optimization with Applications
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Dr. Arunachalam Sundaram is an accomplished academic with extensive experience in Electrical Engineering and Machine Learning. He earned his B.E. in Electrical and Electronics Engineering from Annamalai University in 2001, followed by an M.E. in Power Systems Engineering and a Ph.D. in Electrical Engineering from Anna University in 2004 and 2014, respectively. Anna University awarded Dr. Arunachalam Sundaram the Gold Medal for his outstanding academic performance during his M.E. studies. Additionally, he completed a post-graduation program in artificial intelligence and machine learning at the University of Texas at Austin through Great Learning. He was a senior member of IEEE. Currently, Dr. Arunachalam Sundaram serves as a faculty member at the School of Science, Engineering, and Environment at the University of Salford in Manchester, United Kingdom. Previously, he was an Associate Professor and Program Director at Jubail Industrial College in Al Jubail, Kingdom of Saudi Arabia. With nearly two decades of academic expertise, he has developed numerous courses tailored to various industries. His research interests encompass artificial intelligence, robotics, machine learning, optimization techniques applied to power systems engineering, and smart grids. His prolific research contributions highlight this, including high-impact publications in renowned journals such as Energy Conversion and Management, Applied Soft Computing, IEEE Access, and Expert Systems with Applications. Dr Arunachalam Sundaram's work addresses critical challenges in dynamic economic dispatch, combined heat and power systems, modelling of transmission losses, and renewable energy integration, earning him recognition in the field. He has received multiple accolades for academic excellence and innovative contributions throughout his career, including the prestigious Indian National Academy of Engineering (INAE) Best Project Award and recognition for advancing energy-efficient technologies.
Lecturer of Electrical Power Systems Engineering
United Kingdom of Great Britain and Northern Ireland
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Program Director and Associate Professor
Saudi Arabia
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Assistant Professor
Saudi Arabia
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Associate Professor
India
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Lecturer
India
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Ph.D
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M.E
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B.E
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Particle Swarm Optimization with Applications
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book-chapter
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Expert Systems with Applications
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Energy Conversion and Management
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Energies
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Energy Conversion and Management
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Applied Soft Computing
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Applied Soft Computing
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Engineering Applications of Artificial Intelligence
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Engineering Applications of Artificial Intelligence
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Expert Systems with Applications
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Wind Engineering
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Wind Engineering
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Sensors
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Sensors
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Sensors
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Lecture Notes in Electrical Engineering
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Lecture Notes in Electrical Engineering
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International Journal of Power Electronics and Drive Systems
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IEEE Access
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Applied Soft Computing
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Applied Soft Computing Journal
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International Journal of Electrical and Computer Engineering
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IEEE Access
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IEEE Access
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Journal of Computational and Theoretical Nanoscience
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Applied Soft Computing Journal
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Electric Power Components and Systems
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Electric Power Components and Systems
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2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017
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Applied Soft Computing
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International Journal of Computing and Digital Systems
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International Journal of Applied Engineering Research
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Swarm, Evolutionary, and Memetic Computing
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European Journal of Scientific Research
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Archives Des Sciences
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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International Review of Modeling and Simulations
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International Review on Modelling and Simulations
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European Journal of Scientific Research
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Computer and Information Science
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2006 IEEE Power India Conference
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