Mr. Pandian Vasant
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Mr. Pandian Vasant

Senior Lecturer
Universiti Teknologi Petronas, Malaysia

Highest Degree
M.Sc. in Engineering Mathematics from Universiti Malaysia Sabah, Malaysia

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Biography

Mr. Pandian Vasant is currently working as Lecturer at Universiti Teknologi Petronas, Malaysia. He has completed his M.Sc./M.Sc. (Hons.) in Engineering Mathematics from Universiti Malaysia Sabah, Malaysia. Previously he was appointed as Tutor at University Science Malaysia and Research Lecturer at Mara University of Technology, and Senior Lecturer at Nilai International College. He has completed 7 research projects. He is Editor-in-Chief of International Journal of Computing & Optimization, Industrial Engineering & Management, International Journal of Swarm Intelligence and Evolutionary Computation and International Journal of Energy Optimization & Engineering and member of Editorial Board of Global Journal of Technology & Optimization, Mathematical Problem in Engineering (SCOPUS, Thomson Reuters), Operations Research (SCOPUS, TSWJ). Mr. Pandian received honors include Scientific Award of Excellence for 2012, Certificate for Session Chair from International Academy of Computer Technology, Keynote Lecture in 2nd EAI International Conference on Nature of Computation and Communication. He has published 14 research articles in journals. He also attended various conferences.

Area of Interest:

Computer Sciences
100%
Soft Computing
62%
Artificial Intelligence
90%
Optimization
75%
Computational Intelligence
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Vasant, P., 2015. Short note on research findings and results: An innovative fuzzy computing for industrial production planning. Global J. Technol. Optim., Vol. 6. 10.4172/2229-8711.1000177.
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  2. Vasant, P., 2015. A short note on novel, original and innovative research results and findings: Hybrid optimization techniques in manufacturing environment. Int. J. Swarm Intell. Evol. Comput., Vol. 4. 10.4172/2090-4908.1000116.
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  3. Vasant, P., 2014. Short note on computational intelligent techniques for industrial production systems. Global J. Technol. Optim., Vol. 5. 10.4172/ 2229-8711.1000e105.
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  4. Vasant, P., 2014. Hybrid line search and simulated annealing for production planning system in industrial engineering. Int. J. Manuf. Mater. Mech. Eng., 4: 1-13.
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  5. Vasant, P., 2013. Hybrid optimization techniques of pattern search and genetic algorithm: A case study in production system. Int. J. Hybrid Intell. Syst., 10: 179-190.
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  6. Vasant, P., 2013. Hybrid Optimization Techniques for Industrial Production Planning. In: Formal Methods in Manufacturing Systems: Recent Advances. Li, Z. and A.M. Al-Ahmari (Ed.). IGI Global, Hershey, PA, USA., pp: 84-111..
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  7. Vasant, P., 2013. Hybrid Linear Search, Genetic Algorithms, and Simulated Annealing for Fuzzy Non-Linear Industrial Production Planning Problems. In: Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance. Vasant, P. (Ed.). Information Science Reference, USA., ISBN: 978-1-4666-2086-5, pp: 87-109..
  8. Vasant, P., 2013. Hybrid LS-SA-PS methods for solving fuzzy non-linear programming problems. Math. Comput. Modell., 57: 180-188.
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  9. Vasant, P., 2012. Solving Fuzzy Optimization Problems of Uncertain Technological Coefficients with Genetic Algorithms and Hybrid Genetic Algorithms Pattern Search Approaches. In: Innovation in Power, Control, and Optimization: Emerging Energy Technologies. Vasant, P., N. Barsoum and J. Webb (Ed.). IGI Global, Malaysia., pp: 344-368..
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  10. Vasant, P., 2012. Novel Meta-Heuristic Optimization Techniques for Solving Fuzzy Programming Problems. In: Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions. Khan, M.A. and A.Q. Ansari (Ed.). Information Science Reference, USA., ISBN: 978-1-4666-0294-6, pp: 104-131..
  11. Vasant, P., 2011. Hybrid MADS and GA techniques for industrial production systems. Arch. Control Sci., 21: 227-240.
  12. Vasant, P., 2010. Hybrid simulated annealing and genetic algorithms for industrial production management problems. Int. J. Comput. Methods, 7: 279-297.
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  13. Vasant, P., 2010. Hybrid optimization techniques for industrial production planning. J. Comput. Sci. Technol., 10: 150-151.
  14. Vasant, P. and N. Barsoum, 2009. Hybrid genetic algorithms and line search method for industrial production planning with non-linear fitness function. Engineering Applic. Artif. Intell., 22: 767-777.
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