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001435597 001__ 1435597
001435597 003__ OCoLC
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001435597 0247_ $$a10.1007/978-981-33-6773-9$$2doi
001435597 035__ $$aSP(OCoLC)1245663804
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001435597 049__ $$aISEA
001435597 050_4 $$aQA76.9.N37$$bN38 2021eb
001435597 08204 $$a005.13$$223
001435597 24500 $$aNature-inspired metaheuristic algorithms for engineering optimization applications /$$cSerdar Carbas, Abdurrahim Toktas, Deniz Ustun, editors.
001435597 264_1 $$aSingapore :$$bSpringer,$$c2021.
001435597 264_4 $$c©2021
001435597 300__ $$a1 online resource (xii, 415 pages)
001435597 336__ $$atext$$btxt$$2rdacontent
001435597 337__ $$acomputer$$bc$$2rdamedia
001435597 338__ $$aonline resource$$bcr$$2rdacarrier
001435597 4901_ $$aSpringer Tracts in Nature-Inspired Computing
001435597 50500 $$tIntroduction and Overview: Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications --$$gPart I.$$tCivil and Structural Engineering --$$tHarmony Search Algorithm for Structural Engineering Problems --$$tTeaching Learning Based Optimum Design of Transmission Tower Structures --$$tModified Artificial Bee Colony Algorithm for Sizing Optimization of Truss Structures --$$tElectrostatic Discharge Algorithm for Optimum Design of Real-Size Truss Structures --$$tSolving of Distinct Engineering Optimization Problems Using Metaheuristic Algorithms --$$tThe Design of Trapezoidal Corrugated Web Beams Using Firefly Method --$$tDesigning Fuzzy Controllers for Frame Structures Based on Ground Motion Prediction Using Grasshopper Optimization Algorithm: A Case Study of Tabriz, Iran --$$tOptimization and Artificial Neural Network Models for Reinforced Concrete Members --$$tStatistical Investigation of the Robustness for the Optimization Algorithms --$$tOptimum Design of Beams with Varying Cross-Section by Using Application Interface --$$tMetaheuristic-Based Structural Control Methods and Comparison of Applications --$$tEvolutionary Structural Optimization---A Trial Review --$$tAn Extensive Review of Charged System Search Algorithm for Engineering Optimization Applications --$$gPart II.$$tElectrical and Electronics, Computer, and Communication Engineering --$$tArtificial Bee Colony Algorithm and Its Application to Content Filtering in Digital Communication --$$tMulti-objective Design of Multilayer Microwave Dielectric Filters Using Artificial Bee Colony Algorithm --$$tMulti-objective Sparse Signal Reconstruction in Compressed Sensing --$$tOptimal Allocation of Flexible Alternative Current Transmission Systems: An Application of Particle Swarm Optimization.
001435597 506__ $$aAccess limited to authorized users.
001435597 520__ $$aThis book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions of tiresome engineering design problems that cannot be efficiently resolved via conventional mathematical-based techniques. Thus, the chapters report on advanced studies on the applications of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge, grasshopper, backtracking search, and interactive search are just some of the methods exhibited and consulted step by step in application contexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.
001435597 588__ $$aDescription based on print version record.
001435597 650_0 $$aNature-inspired algorithms.
001435597 650_0 $$aMetaheuristics.
001435597 650_6 $$aAlgorithmes inspirés par la nature.
001435597 650_6 $$aMétaheuristiques.
001435597 655_0 $$aElectronic books.
001435597 7001_ $$aCarbas, Serdar.
001435597 7001_ $$aToktas, Abdurrahim.
001435597 7001_ $$aUstun, Deniz.
001435597 77608 $$iPrint version:$$aCarbas, Serdar.$$tNature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications.$$dSingapore : Springer Singapore Pte. Limited, ©2021$$z9789813367722
001435597 830_0 $$aSpringer Tracts in Nature-Inspired Computing.
001435597 852__ $$bebk
001435597 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-33-6773-9$$zOnline Access$$91397441.1
001435597 909CO $$ooai:library.usi.edu:1435597$$pGLOBAL_SET
001435597 980__ $$aBIB
001435597 980__ $$aEBOOK
001435597 982__ $$aEbook
001435597 983__ $$aOnline
001435597 994__ $$a92$$bISE