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010   $a3-319-19659-6
024 7 $a10.1007/978-3-319-19659-6
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035   $a(DE-He213)978-3-319-19659-6
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100   $a20150610d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aColliding bodies optimization $eextensions and applications /$fby A. Kaveh, V.R. Mahdavi
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (291 p.)
300   $aDescription based upon print version of record.
311   $a3-319-19658-8 
320   $aIncludes bibliographical references.
327   $aTheoretical background of the CBO algorithm: Introduction -- Colliding bodies optimization -- Enhanced versions of the CBO algorithm -- CBO for multi-objective optimization problem -- Applications of the CBO: CBO for optimal design of structures with continuous variables -- CBO for optimal design of structures with discrete variables -- Optimum design of castellated beams utilizing CBO -- CBO for optimal design of concrete structures -- CBO for p-median problems -- CBO for structuring sparse matrices -- BCO and ECBO in construction management -- Appendix: Computer codes for colliding bodies optimization and its different variants.
330   $aThis book presents and applies a novel efficient meta-heuristic optimization algorithm called Colliding Bodies Optimization (CBO) for various optimization problems. The first part of the book introduces the concepts and methods involved, while the second is devoted to the applications. Though optimal design of structures is the main topic, two chapters on optimal analysis and applications in constructional management are also included.  This algorithm is based on one-dimensional collisions between bodies, with each agent solution being considered as an object or body with mass. After a collision of two moving bodies with specified masses and velocities, these bodies again separate, with new velocities. This collision causes the agents to move toward better positions in the search space.  The main algorithm (CBO) is internally parameter independent, setting it apart from previously developed meta-heuristics. This algorithm is enhanced (ECBO) for more efficient applications in the optimal design of structures.  The algorithms are implemented in standard computer programming languages (MATLAB and C++) and two main codes are provided for ease of use.
606   $aApplied mathematics
606   $aEngineering mathematics
606   $aCivil engineering
606   $aMechanical engineering
606   $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006
606   $aCivil Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T23004
606   $aMechanical Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T17004
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615  0$aCivil engineering.
615  0$aMechanical engineering.
615 14$aMathematical and Computational Engineering.
615 24$aCivil Engineering.
615 24$aMechanical Engineering.
676   $a519
676   $a620
676   $a621
676   $a624
700   $aKaveh$b A$4aut$4http://id.loc.gov/vocabulary/relators/aut$0556911
702   $aMahdavi$b V.R$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910299836603321
996   $aColliding Bodies Optimization$92515637
997   $aUNINA