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Transactions on Computational Science XXI pp 145–163Cite as

Multiobjective Optimization of Green Sand Mould System Using Chaotic Differential Evolution

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Part of the book series: Lecture Notes in Computer Science ((TCOMPUTATSCIE,volume 8160))

Abstract

Many industrial optimization cases present themselves in a multi-objective (MO) setting (where each of the objectives portrays different aspects of the problem). Therefore, it is important for the decision-maker to have a solution set of options prior to selecting the best solution. In this work, the weighted sum scalarization approach is used in conjunction with three meta-heuristic algorithms; differential evolution (DE), chaotic differential evolution (CDE) and gravitational search algorithm (GSA). These methods are then used to generate the approximate Pareto frontier to the green sand mould system problem. The Hypervolume Indicator (HVI) is applied to gauge the capabilities of each algorithm in approximating the Pareto frontier. Some comparative studies were then carried out with the algorithms developed in this work and that from the previous work. Analysis on the performance as well as the quality of the solutions obtained by these algorithms is shown here.

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Author information

Authors and Affiliations

  1. Department of Chemical Engineering, Universiti Teknologi Petronas, 31750, Tronoh, Perak, Malaysia

    T. Ganesan & Ku Zilati Ku Shaari

  2. Department of Electrical & Electronics Engineering, Universiti Teknologi Petronas, 31750, Tronoh, Perak, Malaysia

    I. Elamvazuthi

  3. Department of Fundamental & Applied Sciences, Universiti Teknologi Petronas, 31750, Tronoh, Perak, Malaysia

    P. Vasant

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  1. T. Ganesan
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  2. I. Elamvazuthi
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  3. Ku Zilati Ku Shaari
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  4. P. Vasant
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Editor information

Editors and Affiliations

  1. University of Calgary, AB, Canada

    Marina L. Gavrilova

  2. CloudFabriQ Ltd., London, UK

    C. J. Kenneth Tan

  3. Technical University of Ostrava, Czech Republic

    Ajith Abraham

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Ganesan, T., Elamvazuthi, I., Shaari, K.Z.K., Vasant, P. (2013). Multiobjective Optimization of Green Sand Mould System Using Chaotic Differential Evolution. In: Gavrilova, M.L., Tan, C.J.K., Abraham, A. (eds) Transactions on Computational Science XXI. Lecture Notes in Computer Science, vol 8160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45318-2_6

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  • DOI: https://doi.org/10.1007/978-3-642-45318-2_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45317-5

  • Online ISBN: 978-3-642-45318-2

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