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An exergoeconomic optimization is applied to minimize the lifetime cost of the system.
The optimization framework is applied to minimize the mass, volume and material costs.
A genetic algorithm is applied to minimize the objective function by adjusting parameters.
A texture-based earing model is applied to minimize earing of a 25 cl aluminium beverage can.
Further, to address the transmission constraints, an economic dispatch model is applied to minimize total generation supply cost while satisfying the system reliability and security requirements.
Synchronism checking between the main source side and the load side is applied to minimize the transients at the reclosing instant.
With randomly generated sequence in the initialization, PCA is applied to minimize the ISL metric of the AF of the synthesized sequence.
Liapunov's second method is applied to minimize an integrated square performance measure for damped vibrating structures subjected to initial excitation.
Furthermore, a spatial filter is applied to minimize the effects of the singular points in the applicable rational function of the response surface.
Furthermore, the concept of transient equivalence is applied to minimize resource overhead as well as speed-up soft error detection process.
The modified JAYA algorithm is applied to minimize material costs of UPCS under the constraint that the cable conductor temperature shall not exceed its optimum value of 65 °C.
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