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020 _a9783031489181
_9978-3-031-48918-1
024 7 _a10.1007/978-3-031-48918-1
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
100 1 _aKaveh, Ali.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_970082
245 1 0 _aChaotic Meta-heuristic Algorithms for Optimal Design of Structures
_h[electronic resource] /
_cby Ali Kaveh, Hossein Yousefpoor.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXII, 342 p. 153 illus., 149 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 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v1129
505 0 _aIntroduction -- Chaotic Maps and Meta-Heuristic Algorithms -- Chaotic Cyclical Parthenogenesis Algorithm -- Chaotic Teaching Learning-Based Optimization -- Chaotic Biogeography Based Optimization -- Chaotic Differential Evolution -- Chaotic Water Evaporation Optimization -- Chaotic Artificial Bees Colony -- Chaotic Imperialist Competitive Algorithm.
520 _aIn this book, various chaos maps are embedded in eleven efficient and well-known metaheuristics and a significant improvement in the optimization results is achieved. The two basic steps of metaheuristic algorithms consist of exploration and exploitation. The imbalance between these stages causes serious problems for metaheuristic algorithms, which are immature convergence and stopping in local optima. Chaos maps with chaotic jumps can save algorithms from being trapped in local optima and lead to convergence toward global optima. Embedding these maps in the exploration phase, exploitation phase, or both simultaneously corresponds to three efficient and useful scenarios. By creating competition between different modes and increasing diversity in the search space and creating sudden jumps in the search phase, improvements are achieved for chaotic algorithms. Four Chaotic Algorithms, including Chaotic Cyclical Parthenogenesis Algorithm, Chaotic Water Evaporation Optimization, Chaotic Tug-of-War Optimization, and Chaotic Thermal Exchange Optimization are developed.
650 0 _aComputational intelligence.
_964052
650 0 _aMathematical optimization.
_965522
650 1 4 _aComputational Intelligence.
_964052
650 2 4 _aOptimization.
_965528
700 1 _aYousefpoor, Hossein.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_970083
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031489174
776 0 8 _iPrinted edition:
_z9783031489198
776 0 8 _iPrinted edition:
_z9783031489204
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v1129
_968854
856 4 0 _uhttps://doi.org/10.1007/978-3-031-48918-1
912 _aZDB-2-INR
912 _aZDB-2-SXIT
999 _c57352
_d57352