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An artificial bee colony algorithm based optimization method for service network customization

  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents an artificial bee colony (ABC) algorithm based method for customizing an existing service network (SN). Service network is a complex network composed of a set of service components and the input-output relationships between them, and it has the powerful capacity of being customized to fulfill different personalized customer requirements. There might be multiple customized solutions in terms of one requirement, and different solution has varied usage cost, therefore to find the optimal one with minimal cost is necessary. Because it is a NP-hard problem, we propose an optimization method based on ABC algorithm, where a food source represents one solution (a sub network), and the optimization goal is to minimize the cost under the constraints of total response time and reliability raised by the customer. The optimal solution is found based on the group intelligence of bees. Experiment results demonstrate the ABC algorithm can quickly find the optimal customized solution.

Original languageEnglish
Title of host publicationProceedings - 2013 International Conference on Service Science, ICSS 2013
Pages101-106
Number of pages6
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 International Conference on Service Science, ICSS 2013 - Shenzhen, China
Duration: 11 Apr 201313 Apr 2013

Publication series

NameProceedings of International Conference on Service Science, ICSS
ISSN (Print)2165-3836
ISSN (Electronic)2165-3828

Conference

Conference2013 International Conference on Service Science, ICSS 2013
Country/TerritoryChina
CityShenzhen
Period11/04/1313/04/13

Keywords

  • Artificial Bee Colony (ABC)
  • Service network
  • mass customization
  • personalized requirements

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