Tadikonda Venkata Bharat

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Swarm Intelligence (SI) based inverse model is developed for the first time, to recover the release history of a groundwater contaminant plume from the forensic observations. The flow system is assumed to be one-dimensional, with the plume originating from a known single site. The contaminant transport model is solved using explicit finite-difference scheme(More)
Algorithms derived by mimicking the nature are extremely useful for solving many real world problems in different engineering disciplines. Particle swarm optimization (PSO) especially has been greatly acknowledged for its simplicity and efficiency in obtaining good solutions for complex problems. However, premature convergence of the standard PSO and many(More)
A considerable amount of work has been dedicated on the development of analytical solutions for flow of chemical contaminants through soils. Most of the analytical solutions for complex transport problems are closed-form series solutions. The convergence of these solutions depends on the eigenvalues obtained from a corresponding transcendental equation.(More)
Swarm Intelligence techniques such as particle swarm optimization (PSO) are shown to be incompetent for an accurate estimation of global solutions in several engineering applications. This problem is more severe in case of inverse optimization problems where fitness calculations are computationally expensive. In this work, a novel strategy is introduced to(More)
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