東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A computational kernel for supportin...

Hong Kong Polytechnic University (Hong Kong).

Linked to FindBook

Google Book

Amazon

博客來

A computational kernel for supporting generative and evolutionary design.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A computational kernel for supporting generative and evolutionary design./
Author:	Chan, Kwai Hung.
Description:	180 p.
Notes:	Adviser: Ming-Xi Tang.
Contained By:	Dissertation Abstracts International69-12A.
Subject:	Design and Decorative Arts. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3341100
ISBN:	9780549962694

A computational kernel for supporting generative and evolutionary design.
Chan, Kwai Hung.

A computational kernel for supporting generative and evolutionary design. - 180 p.

Adviser: Ming-Xi Tang.

Thesis (Ph.D.)--Hong Kong Polytechnic University (Hong Kong), 2008.

Evolutionary Computation techniques have been used in design systems for exploring and generating design solutions in recent years. However, most of the current evolutionary design studies concentrate on analysis and optimisation of design solutions for problems at the stage of detailed design. There has been comparatively less research on the synthesis and generation of design solutions through a dynamic process of evolution and refinement, at conceptual stage of design process. Furthermore, many conventional studies on evolutionary design do not support multiple representations of design objects at different levels of abstraction, which are essential for exploring design solutions in an incremental and evolutionary manner.

ISBN: 9780549962694Subjects--Topical Terms:

1020245
Design and Decorative Arts.

A computational kernel for supporting generative and evolutionary design.
LDR:02786nmm 2200289 a 45 001 862875
005 20100721
008 100721s2008 ||||||||||||||||| ||eng d
020 $a 9780549962694
035 $a (UMI)AAI3341100
035 $a AAI3341100
040 $a UMI $c UMI
100 1 $a Chan, Kwai Hung. $3 1030743
245 1 2 $a A computational kernel for supporting generative and evolutionary design.
300 $a 180 p.
500 $a Adviser: Ming-Xi Tang.
500 $a Source: Dissertation Abstracts International, Volume: 69-12, Section: A, page: 4549.
502 $a Thesis (Ph.D.)--Hong Kong Polytechnic University (Hong Kong), 2008.
520 $a Evolutionary Computation techniques have been used in design systems for exploring and generating design solutions in recent years. However, most of the current evolutionary design studies concentrate on analysis and optimisation of design solutions for problems at the stage of detailed design. There has been comparatively less research on the synthesis and generation of design solutions through a dynamic process of evolution and refinement, at conceptual stage of design process. Furthermore, many conventional studies on evolutionary design do not support multiple representations of design objects at different levels of abstraction, which are essential for exploring design solutions in an incremental and evolutionary manner.
520 $a To overcome the above problems, a computational kernel is developed in this thesis for the development of design supporting system applications, based on a Generative and Evolutionary Design (GED) model. With this kernel, design objects can be dynamically evolved in a specialisation process in which design solutions are developed from abstract levels to detailed levels. Generative mechanisms are integrated with this multiple representation scheme to manipulate and generate new design solutions from basis and abstract design objects in an interactive manner which involves users in making design selections. This study focuses on the three important aspects of this kernel, (1) modelling design object and design process in a generative and evolutionary manner within an integrated computational platform; (2) adapting and capturing the knowledge of how design objects are generated within this platform; and (3) enhancing the exploration ability of generative and evolutionary design applications with the use of a number of different evolutionary and generative computing techniques, including Genetic Algorithms and Cellular Automata.
590 $a School code: 1170.
650 4 $a Design and Decorative Arts. $3 1020245
650 4 $a Computer Science. $3 626642
690 $a 0389
690 $a 0984
710 2 $a Hong Kong Polytechnic University (Hong Kong). $3 1020200
773 0 $t Dissertation Abstracts International $g 69-12A.
790 $a 1170
790 1 0 $a Tang, Ming-Xi, $e advisor
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3341100