Multi-objective optimization model and algorithms for partner selection

Mohammad Mehedi Hassan; Eui Nam Huh

doi:10.1007/978-1-4614-5146-4_4

Multi-objective optimization model and algorithms for partner selection

Mohammad Mehedi Hassan, Eui Nam Huh

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

Abstract

The Partner selection is an important decision problem in the formation of a dynamic cloud collaboration platform. Selecting suitable cloud partners to form a group will facilitate the success of collaborative cloud services. In this chapter, first, we present a promising multi-objective (MO) optimization model of partner selection considering individual information (INI) and past relationship information (PRI) with collaboration cost optimization among cloud providers in a DCC platform. Then to solve this MO optimization model, a general framework of multi-objective genetic algorithm (MOGA) that uses INI and PRI of cloud providers called MOGA-IC is presented. Finally, two algorithms called NSGA-II and SPEA2 are developed to implement MOGA-IC.

Original language	English
Title of host publication	SpringerBriefs in Computer Science
Publisher	Springer
Pages	37-45
Number of pages	9
Edition	9781461451457
DOIs	https://doi.org/10.1007/978-1-4614-5146-4_4
Publication status	Published - 2013

Publication series

Name	SpringerBriefs in Computer Science
Number	9781461451457
Volume	0
ISSN (Print)	2191-5768
ISSN (Electronic)	2191-5776

Bibliographical note

Publisher Copyright:
© 2013, The Author(s).

Keywords

Binary tournament selection
Cloud provider
Collaboration platform
Pareto optimal solution
Partner selection

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10.1007/978-1-4614-5146-4_4

Cite this

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Multi-objective optimization model and algorithms for partner selection

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