Design and Simulation of an Optimum Service Selection Arithmetic in Pervasive Computing

Author

Liu Wei ; Huang Binwen

Author_Institution

Dept. of Med. Inf., Hainan Med. Univ., Haikou, China

fYear

2013

fDate

21-23 June 2013

Firstpage

9

Lastpage

12

Abstract

After analyzing the essence of service selection, an optimum service selection genetic algorithm with multi-objective constraints is proposed. The algorithm includes a matrix-coding scheme of chromosomes that expresses the relationship between service providers, services and end-users. Special crossover and mutation operations based on matrix-coding are constructed, and both operations can ensure that the new chromosomes are feasible. Simulation results show that this algorithm can obtain the optimal solutions of the test problem instances efficiently and steadily.

Keywords

cellular biophysics; matrix algebra; ubiquitous computing; chromosomes; matrix-coding scheme; multiobjective constraints; mutation operations; optimum service selection arithmetic; optimum service selection genetic algorithm; pervasive computing; service providers; service selection; test problem; Algorithm design and analysis; Analytical models; Biological cells; Computational modeling; Computers; Genetic algorithms; Quality of service; Genetic Algorithm; Matrix-coding Scheme; Multi-objective Constraints; Service Selection;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on

Conference_Location

Shiyang

Type

conf

DOI

10.1109/ICCIS.2013.11

Filename

6642926