Method of Holes Machining Path Optimization for NC Turret Punch Press

2013 ◽  
Vol 842 ◽  
pp. 553-557
Author(s):  
Pei Si Zhong ◽  
Ying Jing Yu ◽  
Hai Liang Xin ◽  
Zhen Guo Lu
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Optimization Algorithm ◽  
Optimization Methods ◽  
Path Optimization ◽  
Distance Method ◽  
Basic Composition ◽  
Different Types ◽  
Working Principle ◽  
Punch Press

The basic composition and working principle of the turret punch press were analyzed, the recent distance method and genetic algorithm optimize method of holes machining path of NC turret punch press was put forward, the corresponding mathematical model and optimization algorithm was respectively given, these two kinds of optimization methods aiming at different types of holes are compared with the examples, put forward a kind of the integrated holes machining path optimization.

scholarly journals PROPOSING A MULTI-CRITERIA PATH OPTIMIZATION METHOD IN ORDER TO PROVIDE A UBIQUITOUS PEDESTRIAN WAYFINDING SERVICE

2015 ◽  
Vol XL-1-W5 ◽  
pp. 639-644 ◽  
Author(s):  
M. Sahelgozin ◽  
A. Sadeghi-Niaraki ◽  
S. Dareshiri
Keyword(s):  
Mathematical Model ◽  
Mobile Devices ◽  
Environmental Conditions ◽  
Context Awareness ◽  
Optimization Method ◽  
Path Optimization ◽  
Navigation Systems ◽  
Different Types ◽  
Novel Applications

A myriad of novel applications have emerged nowadays for different types of navigation systems. One of their most frequent applications is <i>Wayfinding</i>. Since there are significant differences between the nature of the pedestrian wayfinding problems and of those of the vehicles, navigation services which are designed for vehicles are not appropriate for pedestrian wayfinding purposes. In addition, diversity in environmental conditions of the users and in their preferences affects the process of pedestrian wayfinding with mobile devices. Therefore, a method is necessary that performs an intelligent pedestrian routing with regard to this diversity. This intelligence can be achieved by the help of a <i>Ubiquitous</i> service that is adapted to the <i>Contexts</i>. Such a service possesses both the <i>Context-Awareness</i> and the <i>User-Awareness</i> capabilities. These capabilities are the main features of the ubiquitous services that make them flexible in response to any user in any situation. In this paper, it is attempted to propose a multi-criteria path optimization method that provides a Ubiquitous Pedestrian Way Finding Service (UPWFS). The proposed method considers four criteria that are summarized in <i>Length, Safety, Difficulty</i> and <i>Attraction</i> of the path. A conceptual framework is proposed to show the influencing factors that have effects on the criteria. Then, a mathematical model is developed on which the proposed path optimization method is based. Finally, data of a local district in Tehran is chosen as the case study in order to evaluate performance of the proposed method in real situations. Results of the study shows that the proposed method was successful to understand effects of the contexts in the wayfinding procedure. This demonstrates efficiency of the proposed method in providing a ubiquitous pedestrian wayfinding service.

Research on Path Optimization of Automated Warehouse Based on Ant Colony Algorithm

2011 ◽  
Vol 201-203 ◽  
pp. 1112-1115
Author(s):  
Hao Ping Li ◽  
Zi Fan Fang ◽  
Ying Wang
Keyword(s):  
Mathematical Model ◽  
Energy Consumption ◽  
Optimization Algorithm ◽  
Ant Colony Algorithm ◽  
Operation Time ◽  
Optimization Method ◽  
Ant Colony ◽  
Path Optimization ◽  
Operating Costs ◽  
Reduce Energy Consumption

Based on analysis of the cargo selecting strategy of fixed shelf automated warehouse, the idea of path optimization is put forward and the stacker path optimization method is studied. A mathematical model of stacker operation path optimization is built to minimize the length of operation path and the operation time. The model is solved by using the ant colony optimization method. Simulation shows that chosen stacker operation path by using the optimization model and optimization algorithm, can not only reduce energy consumption and warehouse operating costs, but also improve the efficiency of goods storage.

GA Implementation Path Optimization of Pneumatic Marking System

2013 ◽  
Vol 391 ◽  
pp. 390-393
Author(s):  
Lei Shao ◽  
Hai Bin Zuo ◽  
Nan Liu
Keyword(s):  
Genetic Algorithm ◽  
Optimization Algorithm ◽  
Optimization Problem ◽  
Path Optimization ◽  
Matlab Simulation

According to the characteristics of pneumatic marking system, and the typing path was seen as a TSP problem. After comparing the Dijkstra optimization algorithm of marking path results, and applying the genetic algorithm (GA) to analysis, research, and solve the optimization problem, reasonable to get print needle typing path. In this case, printing mark time was shorten as much as possible. It was proved by MATLAB simulation that the study can solve the problem of path optimization and improve the efficiency of marking greatly.

A Method for Designing and Optimizing Force Balanced Constant Spring Hangers with MATLAB Language and Environment

2010 ◽  
Vol 458 ◽  
pp. 337-343
Author(s):  
C. Su ◽  
Z.R. Zhang ◽  
A. Li
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Optimal Design ◽  
Tool Design ◽  
Mechanics Model ◽  
Working Principle ◽  
Curve Equation

A mechanics model for force balanced constant spring hangers is put forward. Then from the working principle of constant hanger，the curve equation of knife cams is induced. The curve equation is solved and the curves of cams are also plotted with MATLAB. The main spring mathematical model of optimal design is established. Parameters of the main spring are optimized with the MATLAB genetic algorithm tool. Design force b

Study on the Optimization of Absorption Baffle with Coating Material

2013 ◽  
Vol 644 ◽  
pp. 165-170
Author(s):  
Wen Yong Guo ◽  
Lin Gen Chen ◽  
Yu Cao
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Optimization Algorithm ◽  
Cylindrical Cavity ◽  
Material Characteristic ◽  
Sound Reflection ◽  
Viscoelastic Structure ◽  
Simulation Results ◽  
The Mathematical Model ◽  
Selection Of

The absorption baffle making of viscoelastic structure with varying material can decrease effectively the sound reflection on the considerable bandwidth of sound-absorbing frequencies. In order to design the varying sectional cylindrical cavity which has better absorption result in more wide bandwidth, the mathematical model of the perforated ratio and optimization algorithm based on the genetic algorithm was designed. The simulation results based on the different rubber materials reveal that the selection of the shape of the cavity depends on the material characteristic. And the result from the optimization algorithm can be regarded as the effective referenced data.

A Hybrid Genetic Algorithm for Solving a Type of Scheduling Problem

2013 ◽  
Vol 380-384 ◽  
pp. 1710-1715
Author(s):  
Meng Lan Wang
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Optimization Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Scheduling Problem ◽  
Tasks Scheduling ◽  
General Mathematical Model ◽  
Simulation Results

Genetic algorithm is the most widely used and successful bionic optimization algorithm. In this paper we will discuss the tasks scheduling problem on equipments, establish a general mathematical model and put forward a hybrid genetic algorithm to solve this problem. The simulation results show the effectiveness of the hybrid genetic algorithm.

scholarly journals Smooth Optimization Technique for Denoising Image

2018 ◽  
Vol 7 (2.31) ◽  
pp. 225
Author(s):  
R Suguna ◽  
K Meena
Keyword(s):  
Mathematical Model ◽  
Fourier Transform ◽  
Optimization Algorithm ◽  
Digital Images ◽  
Optimization Technique ◽  
Image Noise ◽  
Test Image ◽  
Image Capture ◽  
Different Types ◽  
Smooth Optimization

Noise in images can be characterized as a random variation of brightness information. It can be a by-product of image capture that conceals the desired information. All digital images are subject to different types of noise. Noise is the result of errors during acquisition process which affects the original pixel values in the image. Noise can be introduced in several ways depending on how the image is created. This paper suggests a mathematical model for representing noise in the image and solves the model for denoising. A comparison of smooth optimization algorithm with Fourier transform is presented with test image.  

Path Optimization for Mobile Robot Based on the Sine Type Adaptive Genetic Algorithm

2012 ◽  
Vol 159 ◽  
pp. 181-185 ◽  
Author(s):  
Jia Li Zhao ◽  
Chi Bing Hu ◽  
Wu Yang Feng ◽  
Ning Du Yang
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Mobile Robot ◽  
Optimal Solution ◽  
Path Optimization ◽  
Adaptive Genetic Algorithm ◽  
Convergence Problem ◽  
Working Space ◽  
Initial Path ◽  
The Mathematical Model

The improved adaptive genetic algorithm has been presented to overcome the premature convergence problem of traditional genetic algorithm and obtain the genetic operator having adaptability at any time. Then, the location in the working space has been setted by the serial number method, and the mathematical model has been established for the picking operation of mobile robot. Finally, the sine type adaptive genetic algorithm has been adopted to improve the initial path and get the optimal solution. In addition, a simulation has been conducted by the Matlab Genetic Algorithms Box to show that this algorithm is more quickly and efficiently for the path optimization of mobile robot.

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