IDR @ IIT Bhubaneswar

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An efficient multi-objective pulse radar compression technique using RBF and NSGA-II
(2009) Baghel V.; Panda G.; Srihari P.; Rajarajeswari K.; Majhi B.
The task of radar pulse compression is formulated as a multi-objective optimization problem and has been effectively solved using radial basis function (RBF) network and multiobjective genetic algorithm (NSGA-II). The pulse compression performance of three different codes in terms of signal to peak side-lobe ratio (SSR) under noisy environment
Efficient sales forecasting using PSO based adaptive ARMA model
(2009) Majhi R.; Mishra S.; Majhi B.; Panda G.; Rout M.
The paper proposes a new hybrid forecasting model using auto regressive moving average (ARMA) as basic architecture and particle swarm optimization (PSO) as learning algorithm. These two combinations have yielded an efficient prediction model for retail sales volumes. To facilitate comparison ARMA