Sentence examples for trajectory problem from inspiring English sources

Considering the merit and drawback of particle swarm optimization and differential evolution algorithm in solving the space trajectory problem, an improved cooperative evolutionary algorithm is put forward.

With this assumption the trajectory problem (also called the guidance problem) and the attitude problem (also called the control problem) can be addressed separately.

At the top level, the off-line optimal trajectory problem is solved in a complex environment, using B-spline interpolation and genetic algorithm, while considering the dynamic constraints of the vehicle.

The trajectory problem is then solved for this candidate solution in order to assess the real performance, and if necessary iterate on the configuration optimization with a corrected the performance model.

The problem, as we discuss, is understanding how the social requirements and the unclear technical will join together over time, which we call the socio-technical trajectory problem in design.

The aim of this section is to show that the continuation and the geometric optimal control theory have been applied successfully to trajectory problems.

For each algorithm evaluated, a set of key-control parameters can be tuned to optimize their performance when applied to specific wellbore trajectory problems.

In this section, we recall applications of the geometric optimal control theory and numerical continuation methods in trajectory problems, namely in orbital transfer problems and in atmospheric reentry problems.

In the next section, we recall briefly some successful applications of the geometric optimal control techniques and the numerical continuation to trajectory problems, including orbital transfer problems and atmospheric reentry problems.

Now we have shown by examples in trajectory problems that the geometric optimal control theory can be used to analyze the problem and the numerical continuation can be used to design efficient numerical resolution methods.

With the exception of ACO, all algorithms evaluated in this study demonstrate their ability to solve complex wellbore trajectory problems rapidly and locate acceptable solutions close to global optima.  .