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Improved prairie do...
Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
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- Abualigah, Laith (author)
- Al al Bayt Univ, Jordan; Al Ahliyya Amman Univ, Jordan; Lebanese Amer Univ, Lebanon; Middle East Univ, Jordan; Appl Sci Private Univ, Jordan; Univ Sains Malaysia, Malaysia; Sunway Univ Malaysia, Malaysia
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- Oliva, Diego (author)
- Univ Guadalajara, Mexico
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- Jia, Heming (author)
- Sanming Univ, Peoples R China
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- Gul, Faiza (author)
- Air Univ, Pakistan
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- Khodadadi, Nima (author)
- Florida Int Univ, FL USA
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- Hussien, Abdelazim (author)
- Linköpings universitet,Programvara och system,Tekniska fakulteten,Fayoum Univ, Egypt
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- Al Shinwan, Mohammad (author)
- Appl Sci Private Univ, Jordan
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- Ezugwu, Absalom E. (author)
- North West Univ, South Africa
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- Abuhaija, Belal (author)
- Wenzhou Kean Univ, Peoples R China
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- Abu Zitar, Raed (author)
- Sorbonne Univ Abu Dhabi, U Arab Emirates
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(creator_code:org_t)
- SPRINGER, 2023
- 2023
- English.
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In: Multimedia tools and applications. - : SPRINGER. - 1380-7501 .- 1573-7721. ; 83:11, s. 32613-32653
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- Recently, optimization problems have been revised in many domains, and they need powerful search methods to address them. In this paper, a novel hybrid optimization algorithm is proposed to solve various benchmark functions, which is called IPDOA. The proposed method is based on enhancing the search process of the Prairie Dog Optimization Algorithm (PDOA) by using the primary updating mechanism of the Dwarf Mongoose Optimization Algorithm (DMOA). The main aim of the proposed IPDOA is to avoid the main weaknesses of the original methods; these weaknesses are poor convergence ability, the imbalance between the search process, and premature convergence. Experiments are conducted on 23 standard benchmark functions, and the results are compared with similar methods from the literature. The results are recorded in terms of the best, worst, and average fitness function, showing that the proposed method is more vital to deal with various problems than other methods.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Keyword
- Prairie dog optimization algorithm; Dwarf mongoose optimization algorithm; Meta-heuristics; Benchmark functions; Optimization problems
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Abualigah, Laith
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Oliva, Diego
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Jia, Heming
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Gul, Faiza
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Khodadadi, Nima
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Hussien, Abdelaz ...
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show more...
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Al Shinwan, Moha ...
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Ezugwu, Absalom ...
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Abuhaija, Belal
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Abu Zitar, Raed
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show less...
- About the subject
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Electrical Engin ...
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and Signal Processin ...
- Articles in the publication
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Multimedia tools ...
- By the university
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Linköping University