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CFA optimizer: A new and powerful algorithm inspired by Franklin's and Coulomb's laws theory for solving the economic load dispatch problems.

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Title: CFA optimizer: A new and powerful algorithm inspired by Franklin's and Coulomb's laws theory for solving the economic load dispatch problems.
Authors: Ghasemi, Mojtaba1 mojtaba.ghasemi1365@yahoo.com, Ghavidel, Sahand2, Aghaei, Jamshid1, Akbari, Ebrahim3, Li, Li2
Source: International Transactions on Electrical Energy Systems. May2018, Vol. 28 Issue 5, p1-1. 30p.
Subject Terms: *Coulomb's law, *Color filter arrays, *Electrical load
Abstract: Summary: This paper presents a new efficient algorithm inspired by Franklin's and Coulomb's laws theory that is referred to as CFA algorithm, for finding the global solutions of optimal economic load dispatch problems in power systems. CFA is based on the impact of electrically charged particles on each other due to electrical attraction and repulsion forces. The effectiveness of the CFA in different terms is tested on basic benchmark problems. Then, the quality of the CFA to achieve accurate results in different aspects is examined and proven on economic load dispatch problems including 4 different size cases, 6, 10, 15, and 110‐unit test systems. Finally, the results are compared with other inspired algorithms as well as results reported in the literature. The simulation results provide evidence for the well‐organized and efficient performance of the CFA algorithm in solving great diversity of nonlinear optimization problems. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 129892132
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: CFA optimizer: A new and powerful algorithm inspired by Franklin's and Coulomb's laws theory for solving the economic load dispatch problems.
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  Data: <searchLink fieldCode="AR" term="%22Ghasemi%2C+Mojtaba%22">Ghasemi, Mojtaba</searchLink><relatesTo>1</relatesTo><i> mojtaba.ghasemi1365@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Ghavidel%2C+Sahand%22">Ghavidel, Sahand</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Aghaei%2C+Jamshid%22">Aghaei, Jamshid</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Akbari%2C+Ebrahim%22">Akbari, Ebrahim</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Li%2C+Li%22">Li, Li</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Transactions+on+Electrical+Energy+Systems%22">International Transactions on Electrical Energy Systems</searchLink>. May2018, Vol. 28 Issue 5, p1-1. 30p.
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  Data: *<searchLink fieldCode="DE" term="%22Coulomb's+law%22">Coulomb's law</searchLink><br />*<searchLink fieldCode="DE" term="%22Color+filter+arrays%22">Color filter arrays</searchLink><br />*<searchLink fieldCode="DE" term="%22Electrical+load%22">Electrical load</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Summary: This paper presents a new efficient algorithm inspired by Franklin's and Coulomb's laws theory that is referred to as CFA algorithm, for finding the global solutions of optimal economic load dispatch problems in power systems. CFA is based on the impact of electrically charged particles on each other due to electrical attraction and repulsion forces. The effectiveness of the CFA in different terms is tested on basic benchmark problems. Then, the quality of the CFA to achieve accurate results in different aspects is examined and proven on economic load dispatch problems including 4 different size cases, 6, 10, 15, and 110‐unit test systems. Finally, the results are compared with other inspired algorithms as well as results reported in the literature. The simulation results provide evidence for the well‐organized and efficient performance of the CFA algorithm in solving great diversity of nonlinear optimization problems. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1002/etep.2536
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      – Code: eng
        Text: English
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        PageCount: 30
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    Subjects:
      – SubjectFull: Coulomb's law
        Type: general
      – SubjectFull: Color filter arrays
        Type: general
      – SubjectFull: Electrical load
        Type: general
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      – TitleFull: CFA optimizer: A new and powerful algorithm inspired by Franklin's and Coulomb's laws theory for solving the economic load dispatch problems.
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            NameFull: Ghavidel, Sahand
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              M: 05
              Text: May2018
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              Y: 2018
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              Value: 28
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            – TitleFull: International Transactions on Electrical Energy Systems
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