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Dynamic market‐driven allocation of network resources using genetic algorithms in a competitive electronic commerce marketplace
Author(s) -
Ye Jian,
Papavassiliou Symeon
Publication year - 2001
Publication title -
international journal of network management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.373
H-Index - 28
eISSN - 1099-1190
pISSN - 1055-7148
DOI - 10.1002/nem.414
Subject(s) - computer science , genetic algorithm , operator (biology) , process (computing) , selection (genetic algorithm) , service (business) , service provider , space (punctuation) , algorithm , mathematical optimization , operations research , artificial intelligence , machine learning , marketing , biochemistry , chemistry , mathematics , repressor , transcription factor , engineering , gene , operating system , business
In this paper, we propose a practical algorithm which finds cost‐efficient routes from Service Provider (SP) to Content Provider (CP) dynamically in a multi‐operator networking environment, using Genetic Algorithm (GA) concepts. The proposed algorithm is a kind of stochastic algorithm searching process in the solution space by emulating biological selection and reproduction. Copyright © 2001 John Wiley & Sons, Ltd.