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Gade Pandu Rangaiah

Researcher at National University of Singapore

Publications -  282
Citations -  6739

Gade Pandu Rangaiah is an academic researcher from National University of Singapore. The author has contributed to research in topics: Multi-objective optimization & Global optimization. The author has an hindex of 42, co-authored 277 publications receiving 5737 citations. Previous affiliations of Gade Pandu Rangaiah include Indian Institute of Technology Kanpur & Nanyang Technological University.

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Inherent Safety Analysis of a Propane Precooled Gas-Phase Liquified Natural Gas Process

TL;DR: In this article, a gas-phase refrigeration process with a conventional propane refrigeration system was proposed to improve the efficiency of the gas phase refrigeration processes by precooling the natural gas feed stream.
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Constrained and unconstrained Gibbs free energy minimization in reactive systems using genetic algorithm and differential evolution with tabu list

TL;DR: In this paper, the performance of population-based stochastic methods for reactive phase equilibrium calculations is compared with those obtained using SA for non-reactive phase equilibrium, and the results show that the performance depends on the stopping criterion, the type of decision variables and the use of local optimization.
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A Comparative Study of Recent/Popular PID Tuning Rules for Stable, First-Order Plus Dead Time, Single-Input Single-Output Processes

TL;DR: Evaluated tuning rules such as internal model control, direct synthesis, and optimization-based methods were considered and evaluated for a range of first-order plus dead time process dynamics subjected to set-point changes and/or load disturbances via simulation.
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Optimization of Recovery Processes for Multiple Economic and Environmental Objectives

TL;DR: The first two spheres of sustainability, economic development, environmental stewardship, and societal equity, are quantifiable based on process variables as discussed by the authors, while the third sphere of sustainability is not quantifiable.