Enhancing the nonconvexity of the objective function leads traditional convex optimization algorithms easily to fall into the local optimum. To address the above problem, a penalty removal search ...

To address these challenges, this article introduces a neural network control (NNC) for dc-dc converters, which is based on a nonlinear autoregressive exogenous (NARX) model and adaptive dynamic ...

In the field of Micro-Electro-Mechanical Systems (MEMS), for instance, the algorithm could potentially be employed to enhance the understanding and optimization of the dynamic behavior of MEMS devices ...

We will establish the robust optimization model for the problem and design the Nondominated Sorting Genetic Algorithm-II (NSGA-II) to solve the model according to the characteristics of the problem.

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...

The browser you are using is no longer supported on this site. It is highly recommended that you use the latest versions of a supported browser in order to receive an optimal viewing experience.