A robust algorithm to solve the low-thrust fuel-optimal trajectory optimization problem for interplanetary spacecraft is developed in this article. The original nonlinear optimal control convexified and transformed into a parameter using an arbitrary-order Gauss–Lobatto discretization scheme with interpolation. homotopic approach that considers energy-to-fuel smoothing path combined adaptive se...

The paper discusses the location-allocation model for logistic networks and distribution centers through considering uncertain parameters. In real-world cases, demands and transshipment costs change over the period of the time. This may lead to large cost deviation in total cost. Scenario based robust optimization approaches are proposed where occurrence probability of each scenario is not know...

This paper offers three easy-to-use metaphor-less optimization algorithms proposed by Rao to solve the optimal power flow (OPF) problem. are parameter-less algorithms. As a result, algorithm-specific parameter tuning is not required at all. quality makes these simple use and able various kinds of complex constrained engineering problems. In this paper, main aim OPF problem find values control v...

In this paper, the optimizations problems to seek robust solutions under uncertainty are considered. The light robust approach is one of the strong and new methods to achieve robust solutions under conditions of uncertainty. In this paper, we tried to improve the quality of the solutions obtained from the Light Robust method by introducing a revised approach. Considering the problem concerned, ...

introduction: several techniques are used to evaluate decision making units in dmus with a restricted multiplier. dea is recognized as a methodology widely used to evaluate the relative efficiency of a set of decision-making units (dmus) involved in a production process. this approach assumes that the input and output data of the different decision making units (dmus) are measured with precisio...

in this paper, a robust model presented is developed for hub covering flow problem in which hubs have capacity. this problem has two objective functions converting to a single-objective problem by using weighting method. firstly, the problem will be formulated in a certain case. then, by considering the demand as a non-random variable, it will be modeled by robust optimization. finally, by usin...

In this paper, a statcom without any energy storage devices is proposed to compensate network voltage during disturbances. This statcom utilizes a matrix converter in its topology which eliminates the DC-link capacitor of conventional statcom. The modulation method for matrix converter which is used in this paper is space vector modulation. There are some methods to improve power quality for se...