DocumentCode
1651426
Title
Analysis of fine granularity and building block sizes in the parallel fast messy GA
Author
Day, Richard ; Zydallis, Jesse ; Lamont, Gary ; Pachter, Ruth
Author_Institution
Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
Volume
1
fYear
2002
Firstpage
127
Lastpage
132
Abstract
This paper presents two methods designed to improve the efficiency and effectiveness of the parallel fast messy GA used in solving the Protein Structure Prediction (PSP) problem. The first is an application of a farming model - targeting algorithm efficiency. The second successful method addresses the building block sizes used in the algorithm - targeting algorithm effectiveness
Keywords
biocomputing; genetic algorithms; building block sizes; farming model; fine granularity; parallel fast messy genetic algorithm; Amino acids; Bonding; Concurrent computing; Crystallography; Genetic algorithms; Mathematical model; Military computing; Protein engineering; Spine; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1006221
Filename
1006221
Link To Document