R
Raghav Prasad Parouha
Researcher at Indira Gandhi National Tribal University
Publications - 41
Citations - 297
Raghav Prasad Parouha is an academic researcher from Indira Gandhi National Tribal University. The author has contributed to research in topics: Particle swarm optimization & Population. The author has an hindex of 7, co-authored 28 publications receiving 204 citations. Previous affiliations of Raghav Prasad Parouha include National Institute of Technology, Silchar & VIT University.
Papers
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A memory based differential evolution algorithm for unconstrained optimization
TL;DR: Numerical, statistical, and graphical analysis reveals the competency of the proposed MBDE, which is employed to solve 12 basic, 25 CEC 2005, and 30 CEC 2014 unconstrained benchmark functions.
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DPD: An intelligent parallel hybrid algorithm for economic load dispatch problems with various practical constraints
TL;DR: Numerical and graphical results indicate the efficiency, convergence characteristic and robustness of proposed DPD, a novel parallel hybrid optimization methodology aimed at solving ELD problem with various generator constraints.
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A novel hybrid optimizer for solving Economic Load Dispatch problem
TL;DR: Results reveal that the superiority of the proposed DPD is considered for solving ELD problem, which is based on ‘tri-population’ environment.
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A robust memory based hybrid differential evolution for continuous optimization problem
TL;DR: A hybrid DE based on use of memory concept under the particle swarm optimization (PSO), called memory based DE (MBDE), is presented for the continuous optimization problems and numerical, statistical and graphical analysis reveals the competency of the proposed MBDE.
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An efficient hybrid technique for numerical optimization and applications
TL;DR: An excellent efficiency of the recommended DPD is confirmed over the state-of-the-art algorithms and suitable mutation strategies for both DE and PSO are investigated over a set of existing 8 popular mutation strategies which results 64 variants of DPD.