Dynamic market‐driven allocation of network resources using genetic algorithms in a competitive electronic commerce marketplace | Zendy

Ye Jian | Zendy; Papavassiliou Symeon | Zendy

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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.

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