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International Conference on Soft Computing and Data Mining

SCDM 2016: Recent Advances on Soft Computing and Data Mining pp 496–505Cite as

A New Multi Objective Optimization to Improve Growth Domestic Produce of Economic Using Metaheuristic Approaches: Case Study of Iraq Economic

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 549))

Abstract

Currently, optimization problems are some of the immediate concern in economics. Peoples’ need is fast diversifying, while resources remain limited. This phenomenon is called the Multi-Objective Optimization (MOO) problem. Current techniques are mostly grounded in redundancy, large size path, long processing time. At this point in time, economic problems can be solved by utilizing mathematical principles, and one of the most common and effective approach include metaheuristics as soft computing techniques approaches in the context of the development of significance based plan reduction in the growth domestic product (GDP). The indicators in this model can be utilized to assess the state of a nation’s economy. This paper will discuss metaheuristics as soft computing techniques such Ant Colony Optimization (ACO) and Artificial Bees Colony (ABC) in order to propose an effective solution in the reduction of the complexity of MOO in the economy via the determination of an efficient strategy (plan). Experimental results proved that the usage of metaheuristics as soft computing techniques approaches is effective and more promising that current techniques, while ABC is superior to ACO in the context of search time and the exploration of an efficient global strategy (plan).

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Acknowledgment

The authors would like to thank Universiti Tun Hussein Onn Malaysia (UTHM) and Ministry of Higher Education (MOHE) Malaysia for financially supporting this research under the Fundamental Research Grant Scheme (FRGS), Vote No. 1235.

Author information

Authors and Affiliations

  1. Ministry of Higher Education and Scientific Research (MOHESR), Misan University, Amarah, Iraq

    Ahmed Khalaf Zager Al Saedi

  2. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Malaysia

    Rozaida Ghazali & Mustafa Mat Deris

Authors
  1. Ahmed Khalaf Zager Al Saedi
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  2. Rozaida Ghazali
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  3. Mustafa Mat Deris
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Corresponding author

Correspondence to Ahmed Khalaf Zager Al Saedi .

Editor information

Editors and Affiliations

  1. Department of Information System, University of Malaya, Kuala Lumpur, Malaysia

    Tutut Herawan

  2. Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Rozaida Ghazali

  3. Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Nazri Mohd Nawi

  4. Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Mustafa Mat Deris

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Al Saedi, A.K.Z., Ghazali, R., Deris, M.M. (2017). A New Multi Objective Optimization to Improve Growth Domestic Produce of Economic Using Metaheuristic Approaches: Case Study of Iraq Economic. In: Herawan, T., Ghazali, R., Nawi, N.M., Deris, M.M. (eds) Recent Advances on Soft Computing and Data Mining. SCDM 2016. Advances in Intelligent Systems and Computing, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-319-51281-5_50

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  • DOI: https://doi.org/10.1007/978-3-319-51281-5_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51279-2

  • Online ISBN: 978-3-319-51281-5

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