Novel computer-aided alignment method of optical systems based on genetic algorithm

2006 ◽  
Author(s):  
Yinhua Cao ◽  
Lin Li
Keyword(s):  
Genetic Algorithm ◽  
Optical Systems ◽  
Alignment Method ◽  
Computer Aided

Computer-aided alignment method for large and complex optical systems

2000 ◽  
Author(s):  
Huilan Liu ◽  
Hongqiang Xu ◽  
Taogeng Zhou ◽  
Jun Li ◽  
Dingguo Sha
Keyword(s):  
Optical Systems ◽  
Alignment Method ◽  
Computer Aided

Formulation of Colors Using a Genetic Algorithm

2012 ◽  
Vol 17 (4) ◽  
pp. 241-244
Author(s):  
Cezary Draus ◽  
Grzegorz Nowak ◽  
Maciej Nowak ◽  
Marcin Tokarski
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Production Process ◽  
Computer Technology ◽  
Manual Method ◽  
Apply Genetic ◽  
Computer Aided ◽  
Multiple Samples ◽  
Plastics Industry

Abstract The possibility to obtain a desired color of the product and to ensure its repeatability in the production process is highly desired in many industries such as printing, automobile, dyeing, textile, cosmetics or plastics industry. So far, most companies have traditionally used the "manual" method, relying on intuition and experience of a colorist. However, the manual preparation of multiple samples and their correction can be very time consuming and expensive. The computer technology has allowed the development of software to support the process of matching colors. Nowadays, formulation of colors is done with appropriate equipment (colorimeters, spectrophotometers, computers) and dedicated software. Computer-aided formulation is much faster and cheaper than manual formulation, because fewer corrective iterations have to be carried out, to achieve the desired result. Moreover, the colors are analyzed with regard to the metamerism, and the best recipe can be chosen, according to the specific criteria (price, quantity, availability). Optimaization problem of color formulation can be solved in many diferent ways. Authors decided to apply genetic algorithms in this domain.

scholarly journals Research on the Interaction of Genetic Algorithm in Assisted Composition

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Han Hu
Keyword(s):  
Genetic Algorithm ◽  
Time Value ◽  
Coding Method ◽  
Algorithmic Music ◽  
Computer Aided ◽  
Character Representation ◽  
Value Coding ◽  
Algorithmic Music Composition ◽  
Special Process

Computer-aided composition is an attempt to use a formalized process to minimize human (or composer) involvement in the creation of music using a computer. Exploring the problem of computer-aided composition can enable us to understand and simulate the thinking mode of composers in the special process of music creation, which is an important application of artificial intelligence in the field of art. Feature extraction on the MIDI files has been introduced in this paper. Based on the genetic algorithm in this paper, a platform of the sampling coding method to optimize the character representation has solved the traditional algorithmic music composition study. Music directly from the pitch and duration can be derived from the characteristics, respectively, in the form of a one-hot encoding independently said. Failure to the rhythm of the characterization of the pitch and duration are problems that lead to the inability of compositional networks to learn musical styles better. Rhythm is the combination of pitch and time values according to certain rules. The rhythm of music affects the overall style of music. By associating the pitch and time value coding, the rhythm style of music can be preserved better so that the composition network can learn the style characteristics of music more easily.

Study on computer-aided alignment method of a three-mirror off-axis aspherical optical system

2010 ◽  
Author(s):  
Xi-ting Zhao ◽  
Wen-chun Jiao ◽  
Zhi-bo Liao ◽  
Yun Wang ◽  
Jia-yi Chen
Keyword(s):  
Optical System ◽  
Alignment Method ◽  
Computer Aided

Optimization of Heave Motions for a Four Column Semi-Submersible Based on Genetic Algorithm

2018 ◽  
Author(s):  
Suji Zhu
Keyword(s):  
Genetic Algorithm ◽  
Global Optimization ◽  
Computer Aided Design ◽  
Transfer Functions ◽  
Parametric Modelling ◽  
Optimal Solutions ◽  
Global Optimization Algorithm ◽  
The Past ◽  
Computer Aided ◽  
Aided Design

Semi-submersible is designed with low heave motions compared with conventional ships by utilizing the cancelation effects between pontoons and columns. During the past years, continuous efforts have been devoted to reducing the heave amplitudes considering utilizing dry-tree system. Different concepts of semi-submersible have been proposed with favorable heave response. Deep draft semi-submersibles have been proved to be efficient in reducing the heave motions, and the damper structures under the pontoon may also reduce the heave responses significantly. Those concepts are beyond the conventional semi-submersible design, which may bring high costs for fabrication and installations. During computer-aided design and analysis, optimization algorithms are used to search for the optimal hull configuration. However, due to the restrictions of computer capacities, the global optimization algorithm, in some cases, have difficulties in finding out the optimal solutions without the aid from engineering experience. In this paper, the geometry of a ring-pontoon four-column semi-submersible is generated by parametric modelling. The heave transfer functions at center of gravity are calculated using WADAM. Genetic algorithm is used to find the most favorable heave responses. In the end, the parameters that influence the heave motions are summarized and discussed.

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