Agent-based Support within an Interactive Evolutionary Design System

2002 ◽  
pp. 355-367 ◽  
Author(s):  
Dragan Cvetkovic ◽  
Ian Parmee
Keyword(s):  
Design System ◽  
Evolutionary Design ◽  
Agent Based

Agent-based support within an interactive evolutionary design system

2002 ◽  
Vol 16 (5) ◽  
pp. 331-342 ◽  
Author(s):  
DRAGAN CVETKOVIĆ ◽  
IAN PARMEE
Keyword(s):  
Conceptual Design ◽  
Software Agents ◽  
Design System ◽  
Evolutionary Design ◽  
Preference Modeling ◽  
Agent Based ◽  
Interface Agents ◽  
Information Agents

This paper describes the use of software agents within an interactive evolutionary conceptual design system. Several different agent classes are introduced (search agents, interface agents, and information agents) and their function within the system is explained. A preference modification agent is developed and an example is given illustrating the use of agents in preference modeling.

scholarly journals Cooperation Design System Based on Mobile-C Agent Platform

2011 ◽  
Vol 1 ◽  
pp. 16-20
Author(s):  
Bo Yu ◽  
Zi Xian Zhang ◽  
Yi Xiong Feng ◽  
Luis Ariel Diago ◽  
Ichiro Hagiwara
Keyword(s):  
Distributed Systems ◽  
Industrial Applications ◽  
Self Organization ◽  
Design System ◽  
Multi Agent System ◽  
Effective Mechanism ◽  
Agent Based ◽  
Agent Platform ◽  
The Past ◽  
Multi Agent

Over the past decades, Distributed Systems (DS) have been adopted for industrial applications to improve the system efficiency because distributed architecture has advantages in resource utilization, fault toleration .etc. Multi-Agent System (MAS) arises from combination of the theories of artificial intelligence and distributed systems. One character of MAS is their self-organization, so how to implement an effective mechanism for self-organization of agents is important to a MAS system, this paper describes the design and implementation of a Mobile-C based agent management system, in which Mobile-C was adopted as the implementation platform, and this paper also described an agent-based cooperative design application using this system to manage all the agents involved.

Design and implementation of an agent-based collaborative product design system

2009 ◽  
Vol 60 (7) ◽  
pp. 520-535 ◽  
Author(s):  
Jian Xun Wang ◽  
Ming Xi Tang ◽  
Lin Nan Song ◽  
Shou Qiang Jiang
Keyword(s):  
Product Design ◽  
Design System ◽  
Agent Based ◽  
Design And Implementation ◽  
Collaborative Product Design

Vehicle Analysis Using an Agent-Based Analysis Tools Framework

2001 ◽  
Author(s):  
Ken Gee
Keyword(s):  
Computer Aided Design ◽  
Heterogeneous Computing ◽  
Wedge Angle ◽  
Integrated Design ◽  
Structural Response ◽  
Design System ◽  
Data Generation ◽  
Nose Radius ◽  
Agent Based ◽  
Analysis Tools

Abstract Methods to combine a number of analysis tools into an agent-based integrated design system (IDS) for aerospace vehicles were developed. Computer-aided Design (CAD) and Finite Element Method (FEM) thermal and structural analysis packages were integrated with low-fidelity aero- and thermodynamic methods and high-fidelity CFD flow solvers. Analyses were characterized by the generation of an FEM unstructured grid from the CAD data, generation of a structured grid from the FEM grid, computation of the aerodynamic solution, interpolation of the flow data onto the FEM grid, and solution of the thermal and/or structural response of the geometry to the aerodynamic loading. A level of autonomy was provided by an expert system that managed the input data, selected the appropriate flow solver, and built the required input files. The ability to dynamically link available tools together to solve a given problem was also included. The framework integrated commercial tools to enable the use of distributed, heterogeneous computing systems. The framework was used to analyze the effect of wedge angle and nose radius on the heating characteristics of the nose region of a reusable launch vehicle.

Product form evolutionary design system construction based on neural network model and multi-objective optimization

2020 ◽  
Vol 39 (5) ◽  
pp. 7977-7991
Author(s):  
Yixiang Wu
Keyword(s):  
Functional Relation ◽  
Product Form ◽  
Design System ◽  
Evolutionary Design ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Multi Objective ◽  
Form Design ◽  
Product Form Design ◽  
Single Objective

The product form evolutionary design based on multi-objective optimization can satisfy the complex emotional needs of consumers for product form, but most relevant literatures mainly focus on single-objective optimization or convert multiple-objective optimization into the single objective by weighting method. In order to explore the optimal product form design, we propose a hybrid product form design method based on back propagation neural networks (BP-NN) and non-dominated sorting genetic algorithm-II (NSGA-II) algorithms from the perspective of multi-objective optimization. First, the product form is deconstructed and encoded by morphological analysis method, and then the semantic difference method is used to enable consumers to evaluate product samples under a series of perceptual image vocabularies. Then, the nonlinear complex functional relation between the consumers’ perceptual image and the morphological elements is fitted with the BP-NN. Finally, the trained BP-NN is embedded into the NSGA-II multi-objective evolutionary algorithm to derive the Pareto optimal solution. Based on the hybrid BP-NN and NSGA-II algorithms, a multi-objective optimization based product form evolutionary design system is developed with the electric motorcycle as a case. The system is proved to be feasible and effective, providing theoretical reference and method guidance for the multi-image product form design.

Heuristic decisions in an evolutionary design system

1996 ◽  
Vol 20 ◽  
pp. S273-S278 ◽  
Author(s):  
RGH Prince ◽  
AF Connolly
Keyword(s):  
Design System ◽  
Evolutionary Design

scholarly journals Application of EEG and Interactive Evolutionary Design Method in Cultural and Creative Product Design

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Li Deng ◽  
Guohua Wang
Keyword(s):  
Back Propagation ◽  
Morphological Characteristics ◽  
User Preference ◽  
Design System ◽  
Evolutionary Design ◽  
Feedback Information ◽  
Cultural Elements ◽  
Alpha Asymmetry ◽  
Image Semantics ◽  
Fitness Value

In order to design a cultural and creative product that matched the target image, this paper proposed to use EEG, interactive genetic algorithm (IGA), and back propagation neural network (BPNN) to analyze the users’ image preferences. Firstly, the pictures of cultural elements were grouped according to the pleasantness value and emotional state by PAD emotion scale, and the brain waves induced by the pictures of cultural elements with different pleasure degree were recorded by electroencephalograph. Then, the preference of cultural elements was obtained according to the theory of frontal alpha asymmetry. Secondly, the semantic difference method was used to carry out questionnaire survey to users, and the factor analysis method was used to statistically analyze the survey results to extract the perceptual image semantics of users for cultural and creative products. Thirdly, an interactive evolutionary design system based on IGA and BPNN was constructed. According to the cultural elements preferred by users, the designer designed the initial set of morphological characteristics, and the fitness value was determined according to the degree of user preference for the image semantics. Meanwhile, in order to reduce the fatigue caused by users’ interaction evaluation, BPNN was introduced to simulate artificial evaluation. Finally, the proposed method was verified by the practice of flavoring bottle design. User preference requirement could be used as feedback information to help designers understand users’ design emotional need and generate design schemes that satisfied the users’ perceptual image.

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