A hierarchical optimization procedure for the optimal synthesis of a double-axle steering mechanism used in truck with dynamic loads is presented. A multibody model of double-axle steering mechanism is presented to characterize the leaf spring effect. The influences of dynamic loads, the motion interference of steering linkage resulted from the elastic deformation of leaf spring, and the effect...

In this paper we considered the method of describing the telecommunication system providing VoD services using hierarchical structure with optimization and security features. Today we have seen that many times, during the downloading process of various videos, there will be disturbance or hanging and failures due to the low bandwith and other technical problems. In this paper we are proposing s...

ABB Dynamic Optimization is an extension for the control system 800xA. Exploiting the Aspect Objects technology of 800xA, Dynamic Optimization allows the seamless integration of model based applications, such as model-based process control. Running offline and online using one and the same software environment, Dynamic Optimization provides an attractive framework to apply offline results onlin...

Deep learning is one of the subsets of machine learning that is widely used in Artificial Intelligence (AI) field such as natural language processing and machine vision. The learning algorithms require optimization in multiple aspects. Generally, model-based inferences need to solve an optimized problem. In deep learning, the most important problem that can be solved by optimization is neural n...

knowing the fact that the main weakness of the most standard methods including k-means and hierarchical data clustering is their sensitivity to initialization and trapping to local minima, this paper proposes a modification of convex data clustering  in which there is no need to  be peculiar about how to select initial values. due to properly converting the task of optimization to an equivalent...

The paper discusses three major issues. First, it discusses why it makes sense to approach problems in a hierarchical fashion. It deenes the class of hierarchically decomposable functions that can be used to test the algorithms that approach problems in this fashion. Finally, the Bayesian optimization algorithm (BOA) is extended in order to solve the proposed class of problems.

PurposeThe purpose of this paper is to present a hierarchical circuit synthesis system with a Hybrid DLO-MOGA (Deterministic Local Optimization Multi-Objective Genetic Algorithm) optimization scheme for system level synthesis. Design/methodology/approachThe use of a local optimization with a deterministic algorithm based on linear equations which is computationally efficient and improves the fe...