A Graphical teaching platform for Genetic Algorithms

K. S. Tang; K. F. Man; S. Kwong

doi:10.1109/IECON.1999.822182

A Graphical teaching platform for Genetic Algorithms

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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Abstract

Despite the increasing numbers of Genetic Algorithms (GA) applications, we have yet to witnessed a well-designed teaching kit developed for education. Such missing link between the research and education will hinder the further development of GA, especially for newcomers and other potential but unexplored research areas.
A software teaching kit on Microsoft Window 95 platform is hence developed based on the biomorph process. The main theme of this software is to create a creature, an insect, according to the creature's specifications and features. User can play the game by selecting various parameters of an insect provided in the kit. Throughout the GA evolutionary processes, the preferred insect is to be created. In such, user can learn about the GA according to the pre-designed selection of the basic functions such as crossover, mutation, selection and so on.
© 1999 IEEE

Original language	English
Title of host publication	IECON'99 Proceedings
Subtitle of host publication	The 25th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE
Pages	116-120
Volume	1
ISBN (Print)	0-7803-5735-3
DOIs	https://doi.org/10.1109/IECON.1999.822182
Publication status	Published - Nov 1999
Event	25th Annual Conference of the IEEE Industrial Electronics Society (IECON'99) - Fairmont Hotel, San Jose, CA, United States Duration: 29 Nov 1999 → 3 Dec 1999

Conference

Conference	25th Annual Conference of the IEEE Industrial Electronics Society (IECON'99)
Place	United States
City	San Jose, CA
Period	29/11/99 → 3/12/99

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Full text of this publication does not contain sufficient affiliation information. The Research Unit(s) information for this record is based on the then academic department affiliation of the author(s).

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@inproceedings{eeebcca908c341af84f27add5605a0c5,

title = "A Graphical teaching platform for Genetic Algorithms",

abstract = "Despite the increasing numbers of Genetic Algorithms (GA) applications, we have yet to witnessed a well-designed teaching kit developed for education. Such missing link between the research and education will hinder the further development of GA, especially for newcomers and other potential but unexplored research areas. A software teaching kit on Microsoft Window 95 platform is hence developed based on the biomorph process. The main theme of this software is to create a creature, an insect, according to the creature's specifications and features. User can play the game by selecting various parameters of an insect provided in the kit. Throughout the GA evolutionary processes, the preferred insect is to be created. In such, user can learn about the GA according to the pre-designed selection of the basic functions such as crossover, mutation, selection and so on. {\textcopyright} 1999 IEEE",

author = "Tang, \{K. S.\} and Man, \{K. F.\} and S. Kwong",

note = "Full text of this publication does not contain sufficient affiliation information. The Research Unit(s) information for this record is based on the then academic department affiliation of the author(s).; 25th Annual Conference of the IEEE Industrial Electronics Society (IECON'99) ; Conference date: 29-11-1999 Through 03-12-1999",

year = "1999",

month = nov,

doi = "10.1109/IECON.1999.822182",

language = "English",

isbn = "0-7803-5735-3",

volume = "1",

pages = "116--120",

booktitle = "IECON'99 Proceedings",

publisher = "IEEE",

address = "United States",

}

Tang, KS , Man, KF & Kwong, S 1999, A Graphical teaching platform for Genetic Algorithms. in IECON'99 Proceedings: The 25th Annual Conference of the IEEE Industrial Electronics Society. vol. 1, IEEE, pp. 116-120, 25th Annual Conference of the IEEE Industrial Electronics Society (IECON'99), San Jose, CA, United States, 29/11/99. https://doi.org/10.1109/IECON.1999.822182

TY - GEN

T1 - A Graphical teaching platform for Genetic Algorithms

AU - Tang, K. S.

AU - Man, K. F.

AU - Kwong, S.

N1 - Full text of this publication does not contain sufficient affiliation information. The Research Unit(s) information for this record is based on the then academic department affiliation of the author(s).

PY - 1999/11

Y1 - 1999/11

N2 - Despite the increasing numbers of Genetic Algorithms (GA) applications, we have yet to witnessed a well-designed teaching kit developed for education. Such missing link between the research and education will hinder the further development of GA, especially for newcomers and other potential but unexplored research areas. A software teaching kit on Microsoft Window 95 platform is hence developed based on the biomorph process. The main theme of this software is to create a creature, an insect, according to the creature's specifications and features. User can play the game by selecting various parameters of an insect provided in the kit. Throughout the GA evolutionary processes, the preferred insect is to be created. In such, user can learn about the GA according to the pre-designed selection of the basic functions such as crossover, mutation, selection and so on. © 1999 IEEE

AB - Despite the increasing numbers of Genetic Algorithms (GA) applications, we have yet to witnessed a well-designed teaching kit developed for education. Such missing link between the research and education will hinder the further development of GA, especially for newcomers and other potential but unexplored research areas. A software teaching kit on Microsoft Window 95 platform is hence developed based on the biomorph process. The main theme of this software is to create a creature, an insect, according to the creature's specifications and features. User can play the game by selecting various parameters of an insect provided in the kit. Throughout the GA evolutionary processes, the preferred insect is to be created. In such, user can learn about the GA according to the pre-designed selection of the basic functions such as crossover, mutation, selection and so on. © 1999 IEEE

UR - https://www.scopus.com/pages/publications/0033282558

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0033282558&origin=recordpage

U2 - 10.1109/IECON.1999.822182

DO - 10.1109/IECON.1999.822182

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0-7803-5735-3

VL - 1

SP - 116

EP - 120

BT - IECON'99 Proceedings

PB - IEEE

T2 - 25th Annual Conference of the IEEE Industrial Electronics Society (IECON'99)

Y2 - 29 November 1999 through 3 December 1999

ER -

A Graphical teaching platform for Genetic Algorithms

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