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A Hybrid Evolutionary Multiobjective Approach for the Component Selection Problem

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Hybrid Artificial Intelligence Systems (HAIS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5271))

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Abstract

Component selection is a crucial problem in Component Based Software Engineering (CBSE). CBSE is concerned with the assembly of pre-existing software components that leads to a software system that responds to client-specific requirements. We formulate the problem as multiobjective, involving 3 objectives. The approach used in this paper is an evolutionary computation technique combined with a greedy algorithm which is used to fine tune the solutions after the application of the genetic operators. The experiments and comparisons with Greedy technique show the effectiveness of the proposed approach.

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References

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Author information

Authors and Affiliations

  1. Computer Science Department, Babes-Bolyai University, Kogalniceanu 1, 400084, Cluj-Napoca, Romania

    Andreea Vescan & Crina Grosan

Authors
  1. Andreea Vescan
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  2. Crina Grosan
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Editor information

Editors and Affiliations

  1. Escuela Politécnica Superior, GICAP Research Group, Universidad de Burgo, Calle Francisco de Vitoria S/N, Edifico C, Campus Vena, 09006, Burgos, Spain

    Emilio Corchado

  2. Center of Excellence for Quantifiable Quality of Service, Norwegian University of Science and Technology, 7491, Trondheim, Norway

    Ajith Abraham

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton,, T6G 2V4, Alberta, Canada

    Witold Pedrycz

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© 2008 Springer-Verlag Berlin Heidelberg

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Vescan, A., Grosan, C. (2008). A Hybrid Evolutionary Multiobjective Approach for the Component Selection Problem. In: Corchado, E., Abraham, A., Pedrycz, W. (eds) Hybrid Artificial Intelligence Systems. HAIS 2008. Lecture Notes in Computer Science(), vol 5271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87656-4_21

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  • DOI: https://doi.org/10.1007/978-3-540-87656-4_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87655-7

  • Online ISBN: 978-3-540-87656-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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