DocumentCode
3065229
Title
B-Cell Algorithm as a Parallel Approach to Optimization of Moving Peaks Benchmark Tasks
Author
Trojanowski, Krzysztof
Author_Institution
Polish Acad. of Sci., Warsaw
fYear
2007
fDate
28-30 June 2007
Firstpage
143
Lastpage
148
Abstract
Efficiency of the B-Cell algorithm applied to one of the well-known test-case generators, the moving peaks benchmark (MPB) is a subject of study presented in this paper. We especially focused on the family of fitness landscapes generated by scenario 2 of the MPB. All of them represent the class of randomly changing environments. Some properties of the algorithm as well as the properties of the environments created by the generator MPB are discussed. A side effect of modification of one of the control parameters and its influence on the offline error measure is presented.
Keywords
optimisation; parallel algorithms; B-cell algorithm; error measure; fitness landscape; moving peaks benchmark; optimization; randomly changing environment; test-case generation; Benchmark testing; Cloning; Computer industry; Computer science; Conference management; Error correction; Genetic mutations; Heuristic algorithms; Management information systems; Performance evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Information Systems and Industrial Management Applications, 2007. CISIM '07. 6th International Conference on
Conference_Location
Minneapolis, MN
Print_ISBN
0-7695-2894-5
Type
conf
DOI
10.1109/CISIM.2007.17
Filename
4273511
Link To Document