Stochastic optimization—those problems that involve random variables—is a fundamental challenge in many disciplines. Unfortunately, current solvers for stochastic optimization restrictively require finiteness by either replacing the original problem with a sample average surrogate, or by having complete knowledge of a finite population. To help alleviate this restriction, we state a general, no...

 Abstract—The flashover voltage of insulator is relative to the distribution of the electric field. The distribution of the electric field on the insulator is contributed to the shape of insulator. For this, we must optimize the shape of insulator. In this paper, we use FEM, GA and HGAPSO for optimizing the shape of insulator. The tangential electric field and the area of insulator are optimiz...

This paper addresses the use of different coding methods for the arithmetic operators. Signal encoding is widely used to reduce the switching activity in buses. However, the signals need to be encoded and decoded since signal processing is executed in binary. To avoid this step, we investigate the viability of processing operators that use the same signal encoding as that used in the bus. Gray ...

In this paper we consider the problem of minimum nominal Hz-norm with H,-constraints for systems with multiple operating points. The performance measure is defined as a weighted sum of the corresponding nominal H2norms while robust stability of the individual closed-loop systems is defined in terms of a H,-bound for each plant condition. In this paper we define a new time-domain scalar cost fun...

Traditional multidisciplinary design optimization methodologies of hypersonic missions often employ population-based global searching methods that rely on shooting methods to perform trajectory optimization. In this investigation, a rapid simultaneous hypersonic aerodynamic and trajectory optimization methodology is constructed based on variational methods. This methodology is constructed from ...

This paper describes an approach to use an adapted Evolution Strategies (ES) algorithm to generate improved sequences for producing unique parts in a flow shop. The algorithm uses principles from both genetic algorithms and Evolution Strategies. While several alternative algorithms were considered, the focus of this paper is on the one that performed the best for this problem domain. The best a...