Bat algorithm: a novel approach for global engineering optimization

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Yang, Xin‐She, and Amir Hossein Gandomi. “Bat Algorithm: A Novel Approach for Global Engineering Optimization”. Engineering Computations, vol. 29, no. 5, 2012, pp. 464-83, https://doi.org/10.1108/02644401211235834.
Yang, X., & Hossein Gandomi, A. (2012). Bat algorithm: a novel approach for global engineering optimization. Engineering Computations, 29(5), 464-483. https://doi.org/10.1108/02644401211235834
Yang X, Hossein Gandomi A. Bat algorithm: a novel approach for global engineering optimization. Engineering Computations. 2012;29(5):464-83.
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Mathematics
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Engineering (General)
Civil engineering (General)
Technology
Engineering (General)
Civil engineering (General)
Mechanics of engineering
Applied mechanics
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Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science452
Technology: Engineering (General). Civil engineering (General)339
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics276
Technology: Mechanical engineering and machinery248
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks185
The first research to cite this article was titled Incorporating mutation scheme into krill herd algorithm for global numerical optimization and was published in 2012. The most recent citation comes from a 2024 study titled Incorporating mutation scheme into krill herd algorithm for global numerical optimization . This article reached its peak citation in 2023 , with 147 citations.It has been cited in 352 different journals, 23% of which are open access. Among related journals, the IEEE Access cited this research the most, with 42 citations. The chart below illustrates the annual citation trends for this article.
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