000 03825nam a22005535i 4500
001 978-3-031-47369-2
003 DE-He213
005 20240207153740.0
007 cr nn 008mamaa
008 231030s2023 sz | s |||| 0|eng d
020 _a9783031473692
_9978-3-031-47369-2
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aValdez, Fevrier.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aMycorrhiza Optimization Algorithm
_h[electronic resource] /
_cby Fevrier Valdez, Hector Carreon-Ortiz, Oscar Castillo.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2023.
300 _aVIII, 78 p. 32 illus., 26 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Computational Intelligence,
_x2625-3712
500 _aAcceso multiusuario
505 0 _aIntroduction to the Mycorrhiza Optimization Algorithm -- Theory for the Mycorrhiza Optimization Algorithm -- Background for the Mycorrhiza Algorithm -- Problem Definition -- CMOA - Continuous Mycorrhiza Optimization Algorithm -- DMOA - Discrete Mycorrhiza Optimization Algorithm -- Conclusions of the Mycorrhiza Optimization Algorithm.
520 _aThis book provides two new optimization algorithms to address real optimization problems. Optimization is a fundamental concept in engineering and science, and its applications are needed in many fields. From designing products and systems to developing algorithms and models, optimization plays a critical role in achieving efficient and effective solutions to complex problems. Optimization algorithms inspired by nature have proven effective in solving a wide range of problems, including those in engineering, finance, and machine learning. These algorithms are often used when traditional optimization techniques are impractical due to the size or complexity of the problem. In this book, we are presenting two new optimization algorithms inspired by plant roots and the Mycorrhiza Network. The first algorithm is called the Continuous Mycorrhiza Optimization Algorithm (CMOA), which was proposed based on the model of the Continuous Lotka-Volterra System Equations. The second algorithm is called the Discrete Mycorrhiza Optimization Algorithm (DMOA), which design based on the model of Discrete Lotka-Volterra System Equations. By mastering the proposed algorithms, the readers able to develop innovative solutions that improve efficiency, reduce costs, and improve performance in the corresponding field of work.
541 _fUABC ;
_cPerpetuidad
650 0 _aComputational intelligence.
650 0 _aEngineering mathematics.
650 1 4 _aComputational Intelligence.
650 2 4 _aEngineering Mathematics.
700 1 _aCarreon-Ortiz, Hector.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aCastillo, Oscar.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031473685
776 0 8 _iPrinted edition:
_z9783031473708
830 0 _aSpringerBriefs in Computational Intelligence,
_x2625-3712
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-47369-2
912 _aZDB-2-INR
912 _aZDB-2-SXIT
942 _cLIBRO_ELEC
999 _c263158
_d263157