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020 _a9789813367739
024 7 _a10.1007/978-981-33-6773-9
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.N37
_b2021 EB
245 1 0 _aNature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
_cedited by Serdar Carbas, Abdurrahim Toktas, Deniz Ustun.
250 _aFirst edition 2021
264 1 _aSingapore
_bSpringer International Pulishing
_c2021
300 _a1 recurso en línea (XII, 404 páginas)
_b195 ilustraciones, 135 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aSpringer Tracts in Nature-Inspired Computing
_x2524-552X
490 0 _aIntelligent Technologies and Robotics (SpringerNature-42732)
490 0 _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505 0 _aIntroduction and Overview: Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications -- PART 1: Civil and Structural Engineering -- Harmony Search Algorithm for Structural Engineering Problems -- Teaching Learning Based Optimum Design of Transmission Tower Structures -- Modified Artificial Bee Colony Algorithm for Sizing Optimization of Truss Structures -- Electrostatic Discharge Algorithm for Optimum Design of Real Size Truss Structures -- Solving of Distinct Engineering Optimization Problems using Metaheuristic Algorithms -- The Design of Trapezoidal Corrugated Web Beams using Firefly Method -- Designing Fuzzy Controllers for Frame Structures Based on Ground Motion Prediction using Grasshopper Optimization Algorithm; A Case Study of Tabriz, Iran -- Optimization and Artificial Neural Network Models for Reinforced Concrete Members -- Statistical Investigation of the Robustness for the Optimization Algorithms -- Optimum Design of Beams with Varying Cross-Section by Using Application Interface -- Metaheuristic-based Structural Control Methods and Comparison of Applications -- Evolutionary Structural Optimization - A Trial Review -- An Extensive Review of Charged System Search Algorithm for Engineering Optimization Applications -- PART 2: Electrical and Electronics, Computer, and Communication Engineering -- Artificial Bee Colony Algorithm and Its Application to Content Filtering in Digital Communication -- Multi-objective Design of Multilayer Microwave Dielectric Filters using Artificial Bee Colony Algorithm -- Multi-objective Sparse Signal Reconstruction in Compressed Sensing -- Optimal Allocation of Flexible Alternative Current Transmission Systems: An Application of Particle Swarm Optimization.
520 3 _aThis book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions of tiresome engineering design problems that cannot be efficiently resolved via conventional mathematical-based techniques. Thus, the chapters report on advanced studies on the applications of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge, grasshopper, backtracking search, and interactive search are just some of the methods exhibited and consulted step by step in application contexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.
988 _aSpringer_Robotics_2021
650 7 _2embne
_aProgramación de ordenadores
_9139821
700 _aCarbas, Serdar
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9681568
700 _aToktas, Abdurrahim
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9681569
700 _aUstun, Deniz
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9681570
776 0 8 _iPrinted edition:
_z9789813367722
776 0 8 _iPrinted edition:
_z9789813367746
776 0 8 _iPrinted edition:
_z9789813367753
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-6773-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE