In this thesis we build the parametric mathematical model of machine tool and solid models of traction gears using in subway locomotive by analyzing the machining process of involute gears and meshing principle of involute gears. The optimization design is done through deduce the relations between basic parameters of gear and loading capacity of transmission. On the base of analyzing optimizati...

This paper describes PLTO, a link-time instrumentation and optimization tool we have developed for the Intel IA-32 architecture. A number of characteristics of this architecture complicate the task of link-time optimization. These include a large number of op-codes and addressing modes, which increases the complexity of program analysis; variable-length instructions, which complicates disassemb...

With the aim to improve the machining precision of a gantry machining center, bionic optimization design for ribs structure of its column was investigated. Firstly, based on the analysis of honeycomb structures, three kinds of bionic columns were discussed and simulated by finite element analysis method. The column structure with the best comprehensive performance was achieved according to the ...

We model and solve the problem of sequencing a set of jobs with specified processing times and tool requirements on a set of identical parallel machines. Decisions concern the assignment of jobs to machines, their sequencing, and the allocation of tools on each machine. The objective function minimizes the makespan. We propose an adaptive large neighborhood search metaheuristic in which the des...

Swarm Intelligence (SI) is an innovative artificial intelligence technique for solving complex optimization problems. Data clustering is the process of grouping data into a number of clusters. The goal of data clustering is to make the data in the same cluster share a high degree of similarity while being very dissimilar to data from other clusters. Clustering algorithms have been applied to a ...

The mechanical structure of today’s machine tools is based on serial kinematics in the overwhelming majority of cases. Parallel kinematics with closed kinematics chains offer many potential benefits for machine tools but they also cause many drawbacks in the design process and higher efforts for numerical control and calibration. The Parallel Kinematics Machine (PKM) is a new type of machine to...

It is increasingly important for researchers and practitioners to be familiar with methods and software tools for analyzing large data sets, formulating and solving large-scale mathematical optimization models, and sharing solutions using interactive media. Unfortunately, advanced software tools are seldom included in curricula of graduate-level operations research (OR) and analytics programs. ...

In this project a stochastic method for general purpose optimization and machine learning is described. The method is derived from basic information-theoretic principles and generalizes the popular Cross Entropy method. The effectiveness of the method as a tool for statistical modeling and Monte Carlo simulation is demonstrated with an application to the problems of density estimation and data ...

Nowadays there has been an enormous increase in the amount of available data sets of any kind. As a result, the need of applying techniques to analyze and extract information of those data has become a crucial task. The intelligent analysis of data opens a new way of addressing problems impossible to deal with so far. Intelligent Data Analysis (IDL) is concerned with the application of techniqu...

among the several non-conventional processes, electrical discharge machining (edm) is the most widely and successfully applied for the machining of conductive parts. in this technique, the tool has no mechanical contact with the work piece and also the hardness of work piece has no effect on the machining pace. hence, this technique could be employed to machine hard materials such as super allo...