Nandar Lynn

PhD (EEE) Batch 2011

Research Topic: Computational Intelligent Algorithms for scheduling on renewable energy systems

Research Summary: To develop and implement computational intelligence (CI) algorithms for unit commitment scheduling of renewable energy systems

Publications:

N. Lynn, P.N. Suganthan, “Comprehensive learning particle swarm optimizer with guidance vector selection”, in proceedings of IEEE Swarm Intelligence Symposium (SIS), pp. 80-84, Singapore, 2013.
N. Lynn, P.N. Suganthan, “Distance-based Locally Informed Particle Swarm Optimizer with dynamic population size”, in proceedings of 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems pp. 576-587,Singapore, 2014.
N. Lynn, R. Mallipeddi, P.N. Suganthan, “Differential Evolution with Two Subpopulations”, in proceedings of 5th International Conference on Swarm, Evolutionary and Memetic Computing, India, 2014. (Application : unit commitment problem)
N. Lynn, R. Mallipeddi, P.N. Suganthan, “Self-adaptive Differential Evolution with Ensembles of Strategies and Sampled Parameter Values for Unit Commitment”, in proceedings of 6th International Conference on Swarm, Evolutionary and Memetic Computing, India, 2015.
N. Lynn, N, P. N. Suganthan, “Modified Artificial Bee Colony Algorithm with Comprehensive Learning Re-initialization Strategy,” in proceedings of IEEE International Conference on Systems, Man and Cybernetics, Hong Kong, 2015.