Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 15 Life on Land
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Dive into the research topics where Karuna Panwar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Decade of Progress in the Capacitated Vehicle Routing Problem: Variants, Metaheuristics, Machine Learning, and Applications
Panwar, K., 2026, (Accepted/In press) In: Archives of Computational Methods in Engineering.Research output: Contribution to journal › Review article › peer-review
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A swarm intelligence-based hybrid metaheuristic with tabu search for the quadratic assignment problem
Panwar, K., Rajwar, K., Deep, K. & Cho, S. B., Feb 2026, In: Journal of Supercomputing. 82, 3, 126.Research output: Contribution to journal › Article › peer-review
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Comparative analysis of enhanced metaheuristics for the colored traveling salesman problem
Panwar, K., Feb 2026, In: Evolutionary Intelligence. 19, 1, 30.Research output: Contribution to journal › Article › peer-review
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Performance Analysis of Metaheuristic Algorithms on Asymmetric Travelling Salesman Problems
Panwar, K. & Deep, K., 2026, Learning and Analytics in Intelligent Systems. Springer Nature, p. 131-146 16 p. (Learning and Analytics in Intelligent Systems; vol. 60).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Efficient Waste Collection Routing Using F-CVRP and Dynamic Parameter Optimization via Q-Learning
Kumar, Y., Gupta, P., Panwar, K. & Deep, K., 11 Aug 2025, GECCO 2025 Companion - Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion. Ochoa, G. (ed.). Association for Computing Machinery, Inc, p. 2588-2591 4 p. (GECCO 2025 Companion - Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review