Harmony search algorithm : proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)

This book presents state-of-the-art technical contributions based around one of the most successful evolutionary optimization algorithms published to date: Harmony Search. Contributions span from novel technical derivations of this algorithm to applications in the broad fields of civil engineering,...

Full description

Saved in:
Bibliographic Details
Corporate Author: International Conference on Harmony Search Algorithm Bilbao, Spain)
Other Authors: Del Ser, Javier, (Editor)
Format: eBook
Language: English
Published: Singapore : Springer, 2017.
Series: Advances in intelligent systems and computing ; 514.
Subjects:
ISBN: 9789811037283
9789811037276
Physical Description: 1 online resource (xiv, 366 pages) : illustrations

Cover

Table of contents

LEADER 04869cam a2200457Ii 4500
001 99784
003 CZ-ZlUTB
005 20240914112222.0
006 m o d
007 cr cnu|||unuuu
008 170206s2017 si a ob 101 0 eng d
040 |a GW5XE  |b eng  |e rda  |e pn  |c GW5XE  |d N$T  |d YDX  |d UAB  |d NJR  |d N$T  |d EBLCP  |d IDEBK  |d OCLCF  |d COO  |d UPM  |d IOG  |d VT2  |d UWO  |d ESU  |d JBG  |d IAD  |d ICW  |d ICN  |d OTZ  |d OCLCQ  |d U3W  |d CAUOI  |d UWW  |d KSU  |d WYU  |d AUD  |d UKMGB  |d UKAHL  |d OCLCQ  |d ERF  |d UKBTH  |d OCLCQ  |d SRU 
020 |a 9789811037283  |q (electronic bk.) 
020 |z 9789811037276  |q (print) 
024 7 |a 10.1007/978-981-10-3728-3  |2 doi 
035 |a (OCoLC)971494646  |z (OCoLC)971535674  |z (OCoLC)971600202  |z (OCoLC)971956102  |z (OCoLC)972103177  |z (OCoLC)972157247  |z (OCoLC)972204797  |z (OCoLC)972291990  |z (OCoLC)974650957  |z (OCoLC)981115079  |z (OCoLC)981851209  |z (OCoLC)1005818761  |z (OCoLC)1012092513  |z (OCoLC)1048113749  |z (OCoLC)1066475827  |z (OCoLC)1086520442  |z (OCoLC)1112556117  |z (OCoLC)1113437721  |z (OCoLC)1113542893 
111 2 |a International Conference on Harmony Search Algorithm  |n (3rd :  |d 2017 :  |c Bilbao, Spain) 
245 1 0 |a Harmony search algorithm :  |b proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) /  |c Javier Del Ser, editor. 
246 3 |a ICHSA 2017 
264 1 |a Singapore :  |b Springer,  |c 2017. 
300 |a 1 online resource (xiv, 366 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Advances in intelligent systems and computing,  |x 2194-5357 ;  |v volume 514 
500 |a Includes author index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This book presents state-of-the-art technical contributions based around one of the most successful evolutionary optimization algorithms published to date: Harmony Search. Contributions span from novel technical derivations of this algorithm to applications in the broad fields of civil engineering, energy, transportation & mobility and health, among many others and focus not only on its cross-domain applicability, but also on its core evolutionary operators, including elements inspired from other meta-heuristics. The global scientific community is witnessing an upsurge in groundbreaking, new advances in all areas of computational intelligence, with a particular flurry of research focusing on evolutionary computation and bio-inspired optimization. Observed processes in nature and sociology have provided the basis for innovative algorithmic developments aimed at leveraging the inherent capability to adapt characterized by various animals, including ants, fireflies, wolves and humans. However, it is the behavioral patterns observed in music composition that motivated the advent of the Harmony Search algorithm, a meta-heuristic optimization algorithm that over the last decade has been shown to dominate other solvers in a plethora of application scenarios. The book consists of a selection of the best contributions presented at ICHSA, a major biannual event where leading global experts on meta-heuristic optimization present their latest findings and discuss the past, present, and future of the exciting field of Harmony Search optimization. It provides a valuable reference resource for researchers working in the field of optimization meta-heuristics, and a solid technical base for frontline investigations around this algorithm. 
505 0 |a Sensitivity Analysis on Migration Parameters of Parallel Harmony Search -- Multi-layered Harmony Search Algorithm: Introduction of a Novel and Efficient Structure -- Application of Self-adaptive Method in Multi-objective Harmony Search Algorithm -- A Comparative Study of Exploration Ability of Harmony Search Algorithms -- The Extraordinary Particle Swarm Optimization and its Application in Constrained Engineering Problems -- Metaheuristic based Optimization for Tuned Mass Dampers using Frequency Domain Responses. 
504 |a Includes bibliographical references and author index. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Computer algorithms  |v Congresses. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Del Ser, Javier,  |e editor. 
776 0 8 |i Print version:  |a Del Ser, Javier.  |t Harmony Search Algorithm : Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017).  |d Singapore : Springer Singapore, ©2017  |z 9789811037276 
830 0 |a Advances in intelligent systems and computing ;  |v 514.  |x 2194-5357 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-981-10-3728-3  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99784  |d 99784 
993 |x NEPOSILAT  |y EIZ