Ganesan Kanagaraj

Learn More
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, MgSO4, and CaCl2): 0 mM (control), 50 mM, 100 mM, and 150 mM.(More)
Scarce resources such as material, labor, and equipment are to be optimized to improve the performance and lower production costs in flexible assembly lines. These resources are usually allocated optimally through the generation of schedules. In this paper, variants of a differential evolution-based algorithm are employed to schedule flexible assembly lines(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 present study was carried out to determine the hydrogeochemical processes and the impact of tanning industries on groundwater in Ambur, Vellore district, Tamil Nadu, India. Thirty groundwater samples were collected during pre monsoon (July 2015) and post monsoon (January 2016) from the open and shallow wells around this region and were analyzed for(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)
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 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)