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- W2982453621 abstract "Abstract A new bio-inspired optimization technique, named Manta Ray Foraging Optimization (MRFO) algorithm, is proposed and presented, aiming to providing a novel algorithm that provides an alternate optimization approach for addressing real-world engineering issues. The inspiration of this algorithm is based on intelligent behaviors of manta rays. This work mimics three unique foraging strategies of manta rays, including chain foraging, cyclone foraging, and somersault foraging, to develop an efficient optimization paradigm for solving different optimization problems. The performance of MRFO is evaluated, through comparisons with other state-of-the-art optimizers, on benchmark optimization functions and eight real-world engineering design cases. The comparison results on the benchmark functions suggest that MRFO is far superior to its competitors. In addition, the real-world engineering applications show the merits of this algorithm in tackling challenging problems in terms of computational cost and solution precision. The MATLAB codes of the MRFO algorithm are available at https://www.mathworks.com/matlabcentral/fileexchange/73130-manta-ray-foraging-optimization-mrfo ." @default.
- W2982453621 created "2019-11-08" @default.
- W2982453621 creator A5002971848 @default.
- W2982453621 creator A5054459491 @default.
- W2982453621 creator A5082641546 @default.
- W2982453621 date "2020-01-01" @default.
- W2982453621 modified "2023-10-16" @default.
- W2982453621 title "Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications" @default.
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- W2982453621 cites W1972279253 @default.
- W2982453621 cites W1972462693 @default.
- W2982453621 cites W1977042441 @default.
- W2982453621 cites W1982600514 @default.
- W2982453621 cites W1983362686 @default.
- W2982453621 cites W1985460844 @default.
- W2982453621 cites W1993885071 @default.
- W2982453621 cites W1994867044 @default.
- W2982453621 cites W1999284878 @default.
- W2982453621 cites W2001422417 @default.
- W2982453621 cites W2003143905 @default.
- W2982453621 cites W2004906124 @default.
- W2982453621 cites W2006694777 @default.
- W2982453621 cites W2007351764 @default.
- W2982453621 cites W2009006398 @default.
- W2982453621 cites W2015808650 @default.
- W2982453621 cites W2016596438 @default.
- W2982453621 cites W2017426530 @default.
- W2982453621 cites W2017538986 @default.
- W2982453621 cites W2024060531 @default.
- W2982453621 cites W2024833075 @default.
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- W2982453621 cites W2039577332 @default.
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- W2982453621 cites W2224971544 @default.
- W2982453621 cites W2232317135 @default.
- W2982453621 cites W2283085179 @default.
- W2982453621 cites W2290883490 @default.
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- W2982453621 cites W237869302 @default.
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- W2982453621 cites W2511284938 @default.
- W2982453621 cites W2518055200 @default.
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- W2982453621 doi "https://doi.org/10.1016/j.engappai.2019.103300" @default.
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