A constraint based evolutionary decision support system for product design

Yu, Guoyan; Wang, Xiaozhen; Li, Peng

doi:10.1109/ccdc.2009.5191831

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Genetic algorithms (GAs) have emerged as a popular tool in engineering design, finding application in diverse fields, such as mechanical engineering, electrical engineering, aerospace engineering, architecture, civil engineering, and beyond [ 36 ]. The flexibility and versatility of GAs make them a valuable resource for designers seeking to optimize complex design problems across a range of domains.…”

Section: Literature Reviewmentioning

confidence: 99%

Leveraging Generative Design and Point Cloud Data to Improve Conformance to Passing Lane Layout

Momeni Rad,

Sydora,

El-Basyouny

2024

Sensors

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Inadequate highway design is a leading cause of traffic accidents, underscoring the importance of adhering to guidelines and regulations for highway design. These standards exist to safeguard road users by addressing crucial factors, like road geometry, signage, and lane markings. Thus, emphasis is placed on computational methods that can optimize towards higher levels of safety, capacity, efficiency, and sustainability in highway designs. Building Information Modeling (BIM) enhances this process by creating a digital model with physical and operational attributes. In this study, a user-friendly, logic-based language is utilized to encode rules for designing highway passing lanes by which designs are automatically evaluated and generated in the BIM-kit software toolkit. This approach is applied to 16 real-world passing lanes in Alberta, showcasing its utility in transportation. The analysis reveals significant enhancements, with rule compliance increasing from 61.82% to 91.31% after employing generative design techniques. These findings underscore the significance of generative design in transportation, offering engineers an efficient tool to create innovative, compliant solutions for highway projects.

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Section: Literature Reviewmentioning

confidence: 99%

Leveraging Generative Design and Point Cloud Data to Improve Conformance to Passing Lane Layout

Momeni Rad,

Sydora,

El-Basyouny

2024

Sensors

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“…A particular form of generative design -the Generative Design Method (GDM) [8] derived from Knowledge-Based Engineering [9], is defined here as -a designer driven, parametrically constrained design exploration process, operating on top of history-based parametric CAD systems that are unstructured in terms of design development and supportive of emergence [10]. A wide range of methods and modeling techniques were developed till now: Constraint-Based Evolutionary Decision Support System [11], GENE_ARCH [12], Intelligent Genetic Design Tool [13], Genetic Algorithm Designer (GADES) [14], Shape Grammar [15] The Generative Modeling (GM) method belongs to the group of generative methods, ie the Generative Design Method (GDM). There is also one of the methods of Knowledge-Based Engineering (KBE) and due to the intensive use of geometric modeling, it is one of the methods of Geometry-Based Design Automation (GBDA) [16] Such systems are particularly suitable for design families of highly similar structures [8,17,18] or modular systems [19] but it can be used in other more sophisticated applications from aerospace [16] automotive [20,21] or a manufacturing industry [22].…”

Section: State Of the Artmentioning

confidence: 99%

The Use of Generative Modelling to Automate the Design of Aerial Structural Assemblies

Skarka

Alegaze

2021

Advances in Transdisciplinary Engineering

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This paper presents a method of automating design that has the potential to significantly improve the design process. The intent is to develop a design automation system that is an integration of several methods in a holistic approach for use. The automation Generative Design approach allows the reuse of wing design data and parameters. For this purpose, Generative Design methodologies are discovered to enhance the system building. This example of an analyzed wing structure to develop a compatible method to automate the design is described. The model parameterization technique is used to facilitate the generative model creation based on parameters, variables, and constraints. The use of integration in SolidWorks software function is proposed as part of an approach to support designers during both the generative model-building phase of the design process and simulation verification phase. Finally, an example and validation process is presented. The aim is to quickly and cost-effectively validate analytical results from the developed process. The proposed process adopts flexibility to acquire the intended model on different sizes and purposes, likewise, it is shown how the implemented approach makes it possible to automate the generation of generative models for FEM analysis.

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A constraint based evolutionary decision support system for product design

Cited by 2 publications

References 12 publications

Leveraging Generative Design and Point Cloud Data to Improve Conformance to Passing Lane Layout

Leveraging Generative Design and Point Cloud Data to Improve Conformance to Passing Lane Layout

The Use of Generative Modelling to Automate the Design of Aerial Structural Assemblies

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