scholarly journals Automated synthesis of mechanical vibration absorbers using genetic programming

2008 ◽  
Vol 22 (3) ◽  
pp. 207-217 ◽  
Author(s):  
Jianjun Hu ◽  
Erik D. Goodman ◽  
Shaobo Li ◽  
Ronald Rosenberg
Keyword(s):  
Genetic Programming ◽  
Digital Circuits ◽  
Mechanical Vibration ◽  
Automated Design ◽  
Design System ◽  
Vibration Absorbers ◽  
Bond Graphs ◽  
Conceptual Innovation ◽  
Design Systems ◽  
Better Than

AbstractConceptual innovation in mechanical engineering design has been extremely challenging compared to the wide applications of automated design systems in digital circuits. This paper presents an automated methodology for open-ended synthesis of mechanical vibration absorbers based on genetic programming and bond graphs. It is shown that our automated design system can automatically evolve passive vibration absorbers that have performance equal to or better than the standard passive vibration absorbers invented in 1911. A variety of other vibration absorbers with competitive performance are also evolved automatically using a desktop PC in less than 10 h.

scholarly journals DEVELOPMENT OF AN AUTOMATED DESIGN SYSTEM FOR FLEXIBLE AUTOMATED PRODUCTION

2021 ◽  
Vol 5 (3) ◽  
Author(s):  
Еvhen PUKHOVSKYY
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Automated Design ◽  
Numerical Control ◽  
Design System ◽  
Automation System ◽  
Mathematical Methods ◽  
Integrated Automation System ◽  
Design Systems ◽  
Production Preparation

Design of flexible manufacturing  systems (FMS) of modern multi-level production is usually carried out on the basis of general rationing when using large recommendations.  At the same time, the specifics and features of a particular production are not always taken into account.  In such a design, the most important is the experience of the designer, which is not always based on modern methods of optimizing project solutions.  Therefore, the problem of creating automated design systems in the development of flexible automated productions (FAP), which use cost equipment with numerical control (CNC) is extremely urgent.    The development of automated design systems is based on the ideas of a systematic approach that determine different cycles of the process: design - production preparation - production. Information about the projected object is generated in the process of project development by different groups of users: researchers, designers, designers, technologists, production organizers. A multilevel, cyclical design process requires the use of such a volume of information that cannot be processed without the use of modern mathematical methods and calculated equipment. Therefore, it is extremely important to create automated gap design systems, which are marked by greater versatility, efficiency and possibility of development, improvement and adaptation to the conditions of various enterprises. Such requirements served as the basis for the creation of an automated design  system  , which allows to take into account a huge amount of information in the automatic cycle during the development of the project. The scientific novelty of the work is the development of an integrated automation system for the design of processing technology and the selection of elements of  FMS structures. At the same time, information unity with the system of technological training of production at the level of operation of  FMS is ensured.

scholarly journals Surrogate-assisted Genetic Programming with Simplified Models for Automated Design of Dispatching Rules

2020 ◽  
Author(s):  
Mengjie Zhang
Keyword(s):  
Genetic Programming ◽  
Production Systems ◽  
Automated Design ◽  
Research Topic ◽  
Dispatching Rules ◽  
Design System ◽  
Computational Costs ◽  
Powerful Approach ◽  
Effectiveness And Efficiency

© 2013 IEEE. Automated design of dispatching rules for production systems has been an interesting research topic over the last several years. Machine learning, especially genetic programming (GP), has been a powerful approach to dealing with this design problem. However, intensive computational requirements, accuracy and interpretability are still its limitations. This paper aims at developing a new surrogate assisted GP to help improving the quality of the evolved rules without significant computational costs. The experiments have verified the effectiveness and efficiency of the proposed algorithms as compared to those in the literature. Furthermore, new simplification and visualisation approaches have also been developed to improve the interpretability of the evolved rules. These approaches have shown great potentials and proved to be a critical part of the automated design system.

Toward a unified and automated design methodology for multi-domain dynamic systems using bond graphs and genetic programming

Mechatronics ◽  
2003 ◽  
Vol 13 (8-9) ◽  
pp. 851-885 ◽  
Author(s):  
Kisung Seo ◽  
Zhun Fan ◽  
Jianjun Hu ◽  
Erik D. Goodman ◽  
Ronald C. Rosenberg
Keyword(s):  
Genetic Programming ◽  
Dynamic Systems ◽  
Design Methodology ◽  
Automated Design ◽  
Bond Graphs

scholarly journals Surrogate-assisted Genetic Programming with Simplified Models for Automated Design of Dispatching Rules

2020 ◽  
Author(s):  
Mengjie Zhang
Keyword(s):  
Genetic Programming ◽  
Production Systems ◽  
Automated Design ◽  
Research Topic ◽  
Dispatching Rules ◽  
Design System ◽  
Computational Costs ◽  
Powerful Approach ◽  
Effectiveness And Efficiency

© 2013 IEEE. Automated design of dispatching rules for production systems has been an interesting research topic over the last several years. Machine learning, especially genetic programming (GP), has been a powerful approach to dealing with this design problem. However, intensive computational requirements, accuracy and interpretability are still its limitations. This paper aims at developing a new surrogate assisted GP to help improving the quality of the evolved rules without significant computational costs. The experiments have verified the effectiveness and efficiency of the proposed algorithms as compared to those in the literature. Furthermore, new simplification and visualisation approaches have also been developed to improve the interpretability of the evolved rules. These approaches have shown great potentials and proved to be a critical part of the automated design system.

Mechanical Products Conceptual Innovation Design by Application of Enhanced Genetic Algorism

2012 ◽  
Vol 215-216 ◽  
pp. 506-509
Author(s):  
Zhi Hua Yuan ◽  
Hong Li Jiang ◽  
Zhi Jun Wang ◽  
Kun Peng Ma
Keyword(s):  
Genetic Algorithm ◽  
Knowledge Representation ◽  
Conceptual Design ◽  
Object Oriented ◽  
Design System ◽  
Detailed Design ◽  
Conceptual Innovation ◽  
Mechanical Products ◽  
Design Systems ◽  
Design Case

Currently, the mechanical products assistance design systems mainly focus on the detailed design and the function of mathematics models are often been neglected. In order to solve these problems, a application of mechanical products conceptual design is studied using Enhanced Genetic Algorithm (EGA) in this paper. The conceptual design system is established based on Object-oriented Knowledge representation, and at last a design case of conceptual innovation design is given.

Automated Design System

1972 ◽  
Author(s):  
A. J. Foland ◽  
R. Razi
Keyword(s):  
Automated Design ◽  
Design System

scholarly journals A Study on Text Rank Algorithm for Automatic Text Summarization and Question Generation

2021 ◽  
pp. 24-28
Author(s):  
G. Deena
Keyword(s):  
Design System ◽  
Question Generation ◽  
Automated Evaluation ◽  
Automatic Text Summarization ◽  
Human Evaluation ◽  
The People ◽  
Rule Based Approach ◽  
Automatic Question Generation ◽  
Automatic Text ◽  
Better Than

This paper proposes a new rule-based approach to automated question generation. The proposed approach focuses on the analysis of both sentence syntax and semantic structure. The design and implementation of the proposed approach is also described in detail. Although the primary purpose of a design system is to generate query from sentences, automated evaluation results show that it can also perform great when reading comprehension datasets that focus on question output from paragraphs. With regard to human evaluation, the designed system performs better than all other systems and generates the most natural (human-like) questions. We present a fresh approach to automatic question generation that significantly increases the percentage of acceptable questions compared to prior state-of-the-art systems. In our system, we will take data from various sources for a particular topic and summarize it for the convenience of the people, so that they don't have to go through so multiple sites for relevant data.

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