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Quantum-Inspired Computational Intelligence for Economic Emission Dispatch Problem

Quantum-Inspired Computational Intelligence for Economic Emission Dispatch Problem

Fahad Parvez Mahdi, Pandian Vasant, Vish Kallimani, M. Abdullah-Al-Wadud, Junzo Watada
Copyright: © 2017 |Pages: 24
ISBN13: 9781522521280|ISBN10: 1522521283|EISBN13: 9781522521297
DOI: 10.4018/978-1-5225-2128-0.ch015
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MLA

Mahdi, Fahad Parvez, et al. "Quantum-Inspired Computational Intelligence for Economic Emission Dispatch Problem." Handbook of Research on Soft Computing and Nature-Inspired Algorithms, edited by Shishir K. Shandilya, et al., IGI Global, 2017, pp. 445-468. https://doi.org/10.4018/978-1-5225-2128-0.ch015

APA

Mahdi, F. P., Vasant, P., Kallimani, V., Abdullah-Al-Wadud, M., & Watada, J. (2017). Quantum-Inspired Computational Intelligence for Economic Emission Dispatch Problem. In S. Shandilya, S. Shandilya, K. Deep, & A. Nagar (Eds.), Handbook of Research on Soft Computing and Nature-Inspired Algorithms (pp. 445-468). IGI Global. https://doi.org/10.4018/978-1-5225-2128-0.ch015

Chicago

Mahdi, Fahad Parvez, et al. "Quantum-Inspired Computational Intelligence for Economic Emission Dispatch Problem." In Handbook of Research on Soft Computing and Nature-Inspired Algorithms, edited by Shishir K. Shandilya, et al., 445-468. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2128-0.ch015

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Abstract

Economic emission dispatch (EED) problems are one of the most crucial problems in power systems. Growing energy demand, limited reserves of fossil fuel and global warming make this topic into the center of discussion and research. In this chapter, we will discuss the use and scope of different quantum inspired computational intelligence (QCI) methods for solving EED problems. We will evaluate each previously used QCI methods for EED problem and discuss their superiority and credibility against other methods. We will also discuss the potentiality of using other quantum inspired CI methods like quantum bat algorithm (QBA), quantum cuckoo search (QCS), and quantum teaching and learning based optimization (QTLBO) technique for further development in this area.

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