Paper Info
Title
Chance path discovery: a context of creative design by using interactive genetic algorithms
Abstract
Chance discovery is a research topic that emerges in recent years. To discover chances, a double helix model emphasizing human-computer interactions and a visual analysis tool named as KeyGraph have been proposed. In this paper, the mechanism of the double helix model is re-interpreted from the viewpoint of decision-making. The manipulation results of the double helix model are thus mapped to the objective space of the decision-making problem. In such a case, identifying the chance path to a “heaven” which is full of satisficing solutions becomes the key to success for the context of decision-making. A context of designing creative cell phones by using interactive genetic algorithms (IGA) has been discussed. To recognize the chance paths for IGA, an on-chance operator which evolves the individuals based on the historical data is massively used. The pilot experimental results, including satisfaction investigation, are all promising.
Year
DOI
Venue
2005
10.1007/11552413_77
KES (1)
Keywords
Field
DocType
interactive genetic algorithm,manipulation result,historical data,chance path discovery,creative design,objective space,chance path,creative cell phone,chance discovery,human-computer interaction,double helix model,decision-making problem,visual analysis,human computer interaction
Satisficing,Computer science,Decision support system,Small-world network,Knowledge extraction,Operator (computer programming),Artificial intelligence,Mobile phone,User interface,Genetic algorithm
Conference
Volume
ISSN
ISBN
3681
0302-9743
3-540-28894-5
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Leuo-Hong Wang1246.39
Chao-Fu Hong25915.96
Meng-yuan Song300.34