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Similarly (Q_2), (P_2) are the transfer functions between aqueduct-water masses interaction forces (sum ^{n}_{i=1} v_i omega ) u_{si} (omega )) and interaction accelerations (ddot{Z}_o (omega )), (ddot{theta _o} (omega )) respectively (Ray Chaudhuri and Gupta 2003).
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The convective acceleration terms, often omitted in similar studies, are considered here for a correct evaluation of the beam moving mass interaction force.
A parametric study validated the proposed modeling of the balancing mass interaction with other balancing masses and with the balancer track.
Gravitational Search Algorithm (GSA) is a population-based search algorithm inspired by the law of gravity and mass interaction [ 42].
The GSA is constructed based on the law of gravity and the notion of mass interactions.
The Gravitational Search Algorithm (GSA) is a heuristic search algorithm based on the law of gravity and mass interactions.
Gravitational search algorithm (GSA) is a recent introduced algorithm which is inspired by law of gravity and mass interactions.
In the distal femur, increased body mass had no effect on cancellous architecture and there were no vector × body mass interactions.
In GSA, law of gravity and mass interactions among different particles are adopted for handling the non-linear IIR filter design optimization problem.
Gravitational Search Algorithm (GSA) is constructed based on the law of Gravity and the notion of mass interactions, using the theory of Newtonian physics and searcher agents are the collection of masses.
In this paper, a new optimization algorithm namely Gravitational Search Algorithm (GSA) based on the law of gravity and mass interactions is illustrated for designing Static Synchronous Series Compensator (SSSC) for single and multimachine power systems.
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