R
Rajat Kumar Pal
Researcher at University of Calcutta
Publications - 210
Citations - 1117
Rajat Kumar Pal is an academic researcher from University of Calcutta. The author has contributed to research in topics: Routing (electronic design automation) & Communication channel. The author has an hindex of 14, co-authored 197 publications receiving 866 citations. Previous affiliations of Rajat Kumar Pal include Islamic Azad University & Medi-Caps Institute of Technology & Management.
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Engineered silybin nanoparticles educe efficient control in experimental diabetes.
Suvadra Das,Partha Roy,Rajat Kumar Pal,Runa Ghosh Auddy,Abhay Sankar Chakraborti,Arup Mukherjee +5 more
TL;DR: New surface engineered biopolymeric nanoparticles with high silybin encapsulation efficiency and zeta potential were designed and evaluated in vivo for the first time in experimental diabetic conditions, recovering substantially and animal health recovered substantially.
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Characterization of citrate capped gold nanoparticle-quercetin complex: Experimental and quantum chemical approach
TL;DR: The finding suggests that gold nanoparticle-quercetin complex can pass through the membranes of human red blood cells and provides evidences how capping is important in stabilizing the gold nanoparticles and further enhances its interaction with other molecules, such as drugs.
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An efficient genetic algorithm for multi-objective solid travelling salesman problem under fuzziness
TL;DR: A multi-objective genetic algorithm with cyclic crossover, two-point mutation, and refining operation is used to solve the TSP problem by introducing the refining operator and experimental results obtained are highly encouraging.
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An improved genetic algorithm based approach to solve constrained knapsack problem in fuzzy environment
TL;DR: An improved genetic algorithm (GA) is proposed to solve constrained knapsack problem in fuzzy environment using fuzzy formulation and two types of fuzzy systems, one is credibility measure and another is graded mean integration approach.
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A genetic ant colony optimization based algorithm for solid multiple travelling salesmen problem in fuzzy rough environment
TL;DR: The travelling cost is considered as imprecise in nature (fuzzy-rough) and is reduced to its approximate crisp using fuzzy-rough expectation.