Education
University of Hyderabad | Hyderabad |
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Ph.D. in Computer Science | - |
University of Hyderabad | Hyderabad |
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M.Tech. in Computer Science | - |
JNTU | |
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B.Tech. in Computer Science and Engineering | - |
Dr.Pandiri Venkatesh
Assistant Professor
E-mail: venkateshpandiri@iiitdm.ac.in | Room No: 109M, Laboratory Complex
Google Scholar: https://scholar.google.co.in/citations?user=FjHS438AAAAJ&hl=en
DBLP: https://dblp.org/pid/153/4065.html
Website: https://sites.google.com/view/venkateshpandiri/home
Education
University of Hyderabad | Hyderabad |
---|---|
Ph.D. in Computer Science | - |
University of Hyderabad | Hyderabad |
---|---|
M.Tech. in Computer Science | - |
JNTU | |
---|---|
B.Tech. in Computer Science and Engineering | - |
Research Interests
Combinatorial Optimization
Heuristics
Metaheuristics
Swarm Intelligence
Multi-objective Optimization
Work Experience
Teaching
Assistant Professor, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Chennai, India.
Faculty, National Institute of Technology Andhra Pradesh, India.
Research
Postdoctoral Fellow, IFSTTAR, Lille, France.
Teaching
Optimization Techniques
Modeling and Optimization Techniques
Computer Organization and Design
Design and Analysis of Algorithms
Journal Publications
Venkatesh Pandiri, Alok Singh: A hyper-heuristic based artificial bee colony algorithm for k-Interconnected multi-depot multi-traveling salesman problem. Information Sciences. 463-464: 261-281 (2018)
Venkatesh Pandiri, Alok Singh: Two metaheuristic approaches for the multiple traveling salesperson problem. Applied Soft Computing. 26: 74-89 (2015)
Venkatesh Pandiri, Alok Singh: An artificial bee colony algorithm with variable degree of perturbation for the generalized covering traveling salesman problem. Applied Soft Computing. 78: 481-495 (2019)
Venkatesh Pandiri, Alok Singh: A swarm intelligence approach for the colored traveling salesman problem. Applied Intelligence. 48(11): 4412-4428 (2018)
Venkatesh Pandiri, Alok Singh: Swarm intelligence approaches for multidepot salesmen problems with load balancing. Applied Intelligence. 44(4): 849-861 (2016)
Venkatesh Pandiri, Alok Singh, André Rossi: Two hybrid metaheuristic approaches for the covering salesman problem. Neural Computing and Applications. 32(19): 15643-15663 (2020)
Gaurav Srivastava, Venkatesh Pandiri, Alok Singh: An evolution strategy based approach for cover scheduling problem in wireless sensor networks. International Journal of Machine Learning and Cybernetics. 11(9): 1981-2006 (2020)
Venkatesh Pandiri, Alok Singh: Two multi-start heuristics for the k-traveling salesman problem. OPSEARCH. 57(4): 1164-1204 (2020)
Venkatesh Pandiri, Gaurav Srivastava, Alok Singh: A general variable neighborhood search algorithm for the k-traveling salesman problem. Procedia Computer Science. 143: 189-196 (2018)
Conference Publications
Venkatesh Pandiri, Gaurav Srivastava, Rammohan Mallipeddi: A Multi-Start Iterated Local Search Algorithm for the Maximum Scatter Traveling Salesman Problem. IEEE Congress on Evolutionary Computation (CEC), 1390-1397 (2019)
Venkatesh Pandiri, Gaurav Srivastava, Alok Singh: A Multi-start Iterated Local Search Algorithm with Variable Degree of Perturbation for the Covering Salesman Problem. International Conference on Harmony Search and Algorithms (ICHSA), 279-292 (2018)
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