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Exact(31)
In this paper, the optimization is achieved by using genetic algorithms.
Essential maintenance actions are considered and optimization is performed by using genetic algorithms.
The optimal model is generated by means of an optimization problem solved by using genetic algorithms.
The design methodology is based on the minimization of a cost function by using genetic algorithms.
This paper proposes a novel approach to spacecraft impulse autonomous rendezvous by using genetic algorithms.
By using genetic algorithms (GAs), thermal efficiency and electrical efficiency of the system may be optimized.
Similar(29)
Its operating conditions were then optimized by using genetic algorithm.
The GP model is solved by using genetic algorithm.
Prediction performance of neural network model was optimized by using genetic algorithm.
The results obtained by using genetic algorithm are found better than the conventional optimization algorithm results.
Moreover, the solution process of optimal sensor placement by using genetic algorithm is clearly demonstrated.
More suggestions(18)
by running genetic algorithms
by using standard algorithms
by generating genetic algorithms
by applying genetic algorithms
by using proprietary algorithms
by using supervised algorithms
by using numerical algorithms
by combining genetic algorithms
by using predictive algorithms
by using simple algorithms
by fusing genetic algorithms
by adopting genetic algorithms
by using special algorithms
by using evolutionary algorithms
by employing genetic algorithms
by using genetic operations
by using intelligent algorithms
by using efficient algorithms
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