Ganesan Kanagaraj

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The effect of the progressive increase in salinity on photosynthesis, antioxidant enzymes and the contents of proline and glycine betaine in two cotton varieties, Arya-Anubam and LRA-5166 was investigated. Plants were treated with four different salt concentrations (mixed salts: NaCl, MgSO 4 , and CaCl 2): 0 mM (control), 50 mM, 100 mM, and 150 mM.(More)
Robots are employed in assembly lines to increase the productivity. The objective of robotic assembly line balancing (rALB) problem is to balance the assembly line, by allocating equal amount of tasks to the workstations on the line while assigning the most efficient robot to perform the assembly task at the workstation. In this paper, bio-inspired search(More)
The Hospital Information System incorporates an integrated computerized clinical information system for improved hospital administration and patient health care. It also provides an accurate, electronically stored medical record of the patient. A data warehouse of such records can be utilized for statistical requirements and for research. HIS is based on(More)
Optimization of drill path can lead to significant reduction in machining time which directly improves productivity of manufacturing systems. In a batch production of a large number of items to be drilled such as printed circuit boards (PCB), the travel time of the drilling device is a significant portion of the overall manufacturing process. To increase(More)
The drilling path optimization problem is a NP-hard combinatorial optimization problem. Due to complexity and exponential growth of solution space with respect to the problem size, drilling path optimization problem attracts a great interest among the academicians. In this paper, a hybrid algorithm cuckoo search with genetic algorithm (hybrid-CSGA) is(More)
The main focus of this paper is to study and develop an efficient learning policy to address the exploration vs. exploitation dilemma in a multi-objective foraging task in swarm robotics domain. An efficient learning policy called FIFO-list is proposed to tackle the above mentioned problem. The proposed FIFO-list is a model-based learning policy which can(More)