Random-function optimization method and its application in optical-head CAD

1993 ◽  
Author(s):  
Xun Yang ◽  
Jianchuan Shi ◽  
Xiaolong Yang ◽  
Jiyong Zhen
Keyword(s):  
Random Function ◽  
Optimization Method ◽  
Function Optimization ◽  
Optical Head

An Adaptive Population-based Simplex Method for Continuous Optimization

2016 ◽  
Vol 7 (4) ◽  
pp. 23-51 ◽  
Author(s):  
Mahamed G.H. Omran ◽  
Maurice Clerc
Keyword(s):  
Simplex Method ◽  
Continuous Optimization ◽  
Optimization Method ◽  
Population Based ◽  
Function Optimization ◽  
Test Functions ◽  
Dimensional Simplex ◽  
Low Dimensional ◽  
Better Than ◽  
Real World Problems

This paper proposes a new population-based simplex method for continuous function optimization. The proposed method, called Adaptive Population-based Simplex (APS), is inspired by the Low-Dimensional Simplex Evolution (LDSE) method. LDSE is a recent optimization method, which uses the reflection and contraction steps of the Nelder-Mead Simplex method. Like LDSE, APS uses a population from which different simplexes are selected. In addition, a local search is performed using a hyper-sphere generated around the best individual in a simplex. APS is a tuning-free approach, it is easy to code and easy to understand. APS is compared with five state-of-the-art approaches on 23 functions where five of them are quasi-real-world problems. The experimental results show that APS generally performs better than the other methods on the test functions. In addition, a scalability study has been conducted and the results show that APS can work well with relatively high-dimensional problems.

scholarly journals Towards a Complete Model for Software Component Deployment on Heterogeneous Platform

2014 ◽  
Vol 22 (341) ◽  
pp. 35-39
Author(s):  
Ivan Švogor
Keyword(s):  
Heterogeneous Computing ◽  
Graphical Representation ◽  
Goal Function ◽  
Optimization Method ◽  
Research Area ◽  
Function Optimization ◽  
Software Modeling ◽  
Ongoing Research ◽  
Computing Platform ◽  
Research Goal

Abstract This report briefly describes an ongoing research related to optimization of allocating software components to heterogeneous computing platform (which includes CPU, GPU and FPGA). Research goal is also presented, along with current hot topics of the research area, related research teams, and finally results and contribution of my research. It involves mathematical modelling which results in goal function, optimization method which finds a suboptimal solution to the goal function and a software modeling tool which enables graphical representation of the problem at hand and help developers determine component placement in the system design phase.

Optimization Design on 500kV Substation Overhead Concrete Platform

2013 ◽  
Vol 849 ◽  
pp. 422-426
Author(s):  
Xiao Qi ◽  
Xiao Guang Wei ◽  
Ya Nan Li
Keyword(s):  
Mathematical Model ◽  
Cost Saving ◽  
Bearing Capacity ◽  
Penalty Function ◽  
Optimization Design ◽  
Goal Function ◽  
Optimization Method ◽  
Function Optimization ◽  
Frame Structure ◽  
The Cost

To achieve the optimization of 500 kV substation overhead concrete platform, regarding cost minimum of the frame structure as the optimization goal function, according to the conditions and the bearing capacity, using penalty function optimization method to design the frame structure concrete platform and establish its mathematical model, so as to make the concrete platform meet with the cost saving demands under the premise of structure safety.

Realization of Expected Direction Angle of SGM Spiral Bevel Gears Based on Local Synthesis

2010 ◽  
Vol 37-38 ◽  
pp. 927-933 ◽  
Author(s):  
Guang Lei Liu ◽  
Yue Jun Tian ◽  
Ping Jiang
Keyword(s):  
Objective Function ◽  
Contact Point ◽  
Optimization Method ◽  
Function Optimization ◽  
Tooth Surface ◽  
Tooth Contact Analysis ◽  
Local Synthesis ◽  
Spiral Bevel Gears ◽  
Bevel Gears ◽  
Spiral Bevel

The authors propose an optimization method based on local synthesis to fulfill the expected contact path (ECP) at mean contact point (M) of spiral bevel gears. The method is a combination of local synthesis, tooth contact analysis (TCA) and application of optimization. Machine-tool settings based on local synthesis are found and contact path (CP) on tooth surface is formed. TCA extracts the information from CP and transforms it to a projected CP (PCP) by rotation in a plane across gear axis. An objective function is established by contrasting ECP to PCP. A program in Matlab language is developed for the simulation of objective function optimization. A spiral bevel gear drive in aviation accessory gear box is used to prove the feasibility of the proposed method. It shows that the method is effective and does not affect transmission errors very much for the realization of ECP.

scholarly journals Emotional Tendency Dictionary Construction for College Teaching Evaluation

2018 ◽  
Vol 13 (11) ◽  
pp. 117
Author(s):  
Weiwen Shen ◽  
Shuping Zhang
Keyword(s):  
Simulated Annealing Algorithm ◽  
College Teaching ◽  
Optimization Method ◽  
Teaching Evaluation ◽  
Function Optimization ◽  
Target Domain ◽  
Mining System ◽  
Emotional Words ◽  
Object A ◽  
Sentiment Dictionary

To deal with a large amount of emotional information, the text was analyzed by constructing a sentiment dictionary. The mining system was used in the teaching evaluation of colleges and universities. Taking the high-quality emotional dictionary construction algorithm as the research object, a general emotion dictionary construction method based on function optimization was proposed. This method transformed the universal emotion dictionary construction problem into a function optimization problem and used a simulated annealing algorithm to solve it. A universal sentiment dictionary was constructed using the Modularity optimization method in the discovery of complex web communities. In addition, the traditional Modularity method was improved. The results showed that the improved method only compared the Modularity values for all bipartite cases and optimized them. This not only made Modularity method applicable to this problem, but also greatly reduced the amount of computation. In summary, the traditional information clustering method is improved. By making full use of the relationship between the emotional words and documents in the source domain and the target domain, the domain emotional dictionary in the target domain is established.

The Research of Power Generating Self-Optimization Mode Based on the Objective Function Optimization

2014 ◽  
Vol 953-954 ◽  
pp. 884-889
Author(s):  
Zhi Gang Hua ◽  
Guang Yu Hu ◽  
Zhi Gong Wu ◽  
Yong Jie Zhai
Keyword(s):  
Power Generation ◽  
Optimization Method ◽  
Function Optimization ◽  
The Self ◽  
Total Power ◽  
Initial Allocation ◽  
Generation Scheduling ◽  
Power Generation Unit ◽  
Important Means ◽  
Generation Unit

The self-optimization method for power generation proposed in this paper is an initial allocation of power energy. Every unit is according to the same principles of utilization hours in the same province. Under the premise of unchanged total power of each power generation unit and the security of the power system as well as the discharge standards, this method can achieve the minimum social resource consumption and the minimum discharge meet the demand of power energy at the same time by adjusting of autonomy optimization among internal different units. It is an important means and effective way to carry out energy generation scheduling work.

scholarly journals Searches for Pulsar Planetary Systems

2004 ◽  
Vol 213 ◽  
pp. 101-106
Author(s):  
T. Joseph W. Lazio ◽  
J. Fischer ◽  
James M. Cordes
Keyword(s):  
Planetary System ◽  
Planetary Systems ◽  
Optimization Method ◽  
Natural World ◽  
Function Optimization ◽  
Infrared Observations ◽  
Timing Data ◽  
Pulse Timing ◽  
Extrasolar Planetary System ◽  
Near Future

The first extrasolar planetary system was discovered around the pulsar PSR B1257+12, and the planets therein remain the lowest mass exoplanets known (with one whose mass is of order a lunar mass). Pulsar planetary systems will remain the only extrasolar planetary systems within which terrestrial-mass planets can be detected for the near future, and multiple pulsar planetary systems would provide strong circumstantial evidence that terrestrial-mass planets are ubiquitous, and possibly information about the formation of terrestrial-mass planets. We summarize two searches for planetary or proto-planetary systems around pulsars. The first is a series of infrared observations of millisecond pulsars in which the objective is to detect (proto-planetary) disks. The second uses a genetic algorithm—a function optimization method based on evolutionary processes in the natural world—to search for the signatures of planetary perturbations in pulse timing data.

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