01776oam 2200517 450 991070690590332120180920133318.0(CKB)5470000002460423(OCoLC)1033689862(EXLCZ)99547000000246042320180503d2018 ua 0engurbn||||a||||txtrdacontentcrdamediacrrdacarrierFreight movement assessing where we are now and where we need to go : hearing before the Subcommittee on Transportation and Infrastructure of the Committee on Environment and Public Works, United States Senate, One Hundred Fifteenth Congress, first session, December 20, 2017Washington :U.S. Government Publishing Office,2018.1 online resource (iii, 108 pages) illustrationsS. hrg. ;115-201Includes bibliographical references.Freight movement Freight and freightageUnited StatesFederal aid to transportationUnited StatesInfrastructure (Economics)United StatesTransportation and stateUnited StatesShipment of goodsUnited StatesLegislative hearings.lcgftFreight and freightageFederal aid to transportationInfrastructure (Economics)Transportation and stateShipment of goodsGPOGPOGPOMERUCOCLCFUOKOCLCAINTGPOBOOK9910706905903321Freight movement3444816UNINA03867nam 22005535 450 991059503730332120251009105928.03-031-13429-X10.1007/978-3-031-13429-6(MiAaPQ)EBC7097792(Au-PeEL)EBL7097792(CKB)24866184000041(PPN)264953738(DE-He213)978-3-031-13429-6(OCoLC)1345286372(EXLCZ)992486618400004120220917d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvanced Metaheuristic Algorithms and Their Applications in Structural Optimization /by Ali Kaveh, Kiarash Biabani Hamedani1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (369 pages)Studies in Computational Intelligence,1860-9503 ;1059Print version: Kaveh, Ali Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization Cham : Springer International Publishing AG,c2022 9783031134289 Introduction -- Set-Theoretical Shuffled Shepherd Optimization Algorithm for Optimal Design of Reinforced Concrete Cantilever Retaining Wall Structures -- Set-Theoretical Variants of the Teaching-Learning-Based Optimization Algorithm for Structural Optimization with Frequency Constraints -- Enhanced Versions of the Shuffled Shepherd Optimization Algorithm for Structural Optimization -- Set-Theoretical Metaheuristic Algorithms for Reliability-Based Design Optimization of Truss Structures -- Optimal Analysis in the Service of Frequency-Constrained Structural Optimization with Set-Theoretical Jaya Algorithm -- Discrete Structural Optimization with Set-Theoretical Jaya Algorithm -- Enhanced Forensic-Based Investigation Algorithm -- Improved Slime Mould Algorithm -- Improved Arithmetic Optimization Algorithm.The main purpose of the present book is to develop a general framework for population-based metaheuristics based on some basic concepts of set theory. The idea of the framework is to divide the population of individuals into subpopulations of identical sizes. Therefore, in each iteration of the search process, different subpopulations explore the search space independently but simultaneously. The framework aims to provide a suitable balance between exploration and exploitation during the search process. A few chapters containing algorithm-specific modifications of some state-of-the-art metaheuristics are also included to further enrich the book. The present book is addressed to those scientists, engineers, and students who wish to explore the potentials of newly developed metaheuristics. The proposed metaheuristics are not only applicable to structural optimization problems but can also be used for other engineering optimization applications. The book is likely to beof interest to a wide range of engineers and students who deal with engineering optimization problems.Studies in Computational Intelligence,1860-9503 ;1059Computational intelligenceMathematical optimizationComputational IntelligenceOptimizationComputational intelligence.Mathematical optimization.Computational Intelligence.Optimization.016.5192Kaveh A(Ali),1948-1596023Hamedani Kiarash BiabaniMiAaPQMiAaPQMiAaPQBOOK9910595037303321Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization4450990UNINA