Evolving color paint

Author

Mizutani, Eiji ; Takagi, Hideyuki ; Auslander, David M.

Author_Institution

Dept. of Inf. Syst., Kansai Paint Co. Ltd., Osaka, Japan

Volume

2

fYear

1995

fDate

29 Nov-1 Dec 1995

Firstpage

533

Abstract

This paper presents an evolutionary computing intelligence for the paint industry. It integrates three principle components of soft-computing and problem-specific knowledge to perform a computerized color recipe prediction: that is, neural networks (NNs), a fuzzy system (FS), and a genetic algorithm (GA) with a knowledge base (KB) complement each other in obtaining precise prediction outputs through the simulation of the color paint manufacturing process. In light of both potential versatility and practical validity in this industrial application, we have realized that the proposed hybrid system can yield advantages over other approaches in that it can evolve their results

Keywords

colour graphics; computer integrated manufacturing; fuzzy systems; genetic algorithms; knowledge based systems; manufacturing industries; neural nets; color paint manufacturing process; computerized color recipe prediction; evolutionary computing; evolving color paint; fuzzy system; genetic algorithm; genetic algorithms; industrial application; knowledge based system; neural networks; paint industry; problem-specific knowledge; simulation; soft-computing; Color; Competitive intelligence; Computational modeling; Computer aided manufacturing; Computer industry; Computer networks; Fuzzy systems; Genetic algorithms; Neural networks; Paints;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 1995., IEEE International Conference on

Conference_Location

Perth, WA

Print_ISBN

0-7803-2759-4

Type

conf

DOI

10.1109/ICEC.1995.487440

Filename

487440