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    A Comparative Study of Metaheuristic Techniques for the Thermoenvironomic Optimization of a Gas Turbine-Based Benchmark Combined Heat and Power System 

    Source: Journal of Energy Resources Technology:;2020:;volume( 143 ):;issue: 006:;page 062104-1
    Author(s): Nondy, J.; Gogoi, T. K.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a comparative study of four metaheuristic techniques, namely, the particle swarm optimization (PSO), genetic algorithm (GA), simulated annealing (SA), and the harmony search (HS), used in thermoenvironomic ...
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