Cargando…

Global optimization : theory, developments and applications /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Michalski, Angelika (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Nova Publishers, [2013]
Colección:Mathematics Research Developments
Computational mathematics and analysis series
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 i 4500
001 EBSCO_ocn852898523
003 OCoLC
005 20231017213018.0
006 m o d
007 cr |||||||||||
008 130321s2013 nyu ob 001 0 eng
010 |a  2020676520 
040 |a DLC  |b eng  |e rda  |c DLC  |d YDXCP  |d E7B  |d OCLCF  |d EBLCP  |d DEBSZ  |d AGLDB  |d VTS  |d AU@  |d STF  |d M8D  |d N$T  |d OCLCO  |d OCLCQ  |d OCLCO 
020 |a 9781624177972  |q (epub) 
020 |a 1624177972 
020 |z 9781624177965  |q (hardcover) 
020 |z 1624177964 
029 1 |a AU@  |b 000062326789 
029 1 |a DEBSZ  |b 449550192 
029 1 |a DEBSZ  |b 429935048 
029 1 |a DEBBG  |b BV043091292 
035 |a (OCoLC)852898523 
042 |a pcc 
050 0 0 |a QA402.5 
072 7 |a MAT  |x 042000  |2 bisacsh 
082 0 0 |a 519.6  |2 23 
049 |a UAMI 
245 0 0 |a Global optimization :  |b theory, developments and applications /  |c Angelika Michalski, editor. 
264 1 |a New York :  |b Nova Publishers,  |c [2013] 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 0 |a Mathematics Research Developments 
490 0 |a Computational mathematics and analysis series 
504 |a Includes bibliographical references and index. 
588 |a Description based on print version record and CIP data provided by publisher. 
505 0 |a GLOBAL OPTIMIZATION ; Library of Congress Cataloging-in-Publication Data; CONTENTS; PREFACE ; Chapter 1 PARTICLE SWARM OPTIMIZATION WITH RE-INITIALIZATION STRATEGIES FOR CONTINUOUS GLOBAL OPTIMIZATION ; ABSTRACT ; NOMENCLATURE ; 1. INTRODUCTION ; 2. DESCRIPTION AND DEVELOPMENT OF PSO ; 3. PARTICLE SWARM OPTIMIZATION WITH RE-INITIALIZATION STRATEGIES ; 3. 1. PSO with Selection Strategy ; 3. 2. PSO with Escape Strategy ; 3. 3. PSO with Both Selection and Escape Strategies ; 4. RESULTS AND DISCUSSION; 4. 1. Description of Benchmark Problems ; 4. 2. Performance of Proposed PSO. 
505 8 |a 4.3. Comparison of PPSO with Recent PSO Algorithms CONCLUSION ; APPENDIX A: ORTHOGONAL MATRIX ; REFERENCES ; Chapter 2 PARTICLE SWARM GLOBAL OPTIMIZATION OF ORBITAL MANEUVERS ; ABSTRACT ; 1. INTRODUCTION ; 2. DESCRIPTION OF THE METHOD ; 2.1. Unconstrained Optimization; 2.2. Constrained Optimization ; 3. OPTIMAL IMPULSIVE TRANSFERS BETWEEN COPLANAR CIRCULAR ORBITS ; 3.1. Problem Definition ; 3.2. Numerical Results ; 4. OPTIMAL TWO-IMPULSE TRANSFERS BETWEEN NON-COPLANAR ORBITS ; 4.1. Problem Definition ; 4.2. Numerical Results ; 5. OPTIMAL FOUR-IMPULSE ORBITAL RENDEZVOUS. 
505 8 |a 5.1. Problem Definition 5.2. Numerical Results ; 6. OPTIMAL LOW EARTH ORBIT -- LOW MOON ORBIT TRANSFER ; 6.1. Problem Definition ; 6.2. Numerical Results ; CONCLUSION ; REFERENCES ; Chapter 3 FLOAT-ENCODED GENETIC ALGORITHM USED FOR THE INVERSION PROCESSING OF WELL-LOGGING DATA ; ABSTRACT ; 1. INTRODUCTION ; 2. THE INVERSION METHODOLOGY ; 2.1. Forward Modeling ; 2.2. The Inverse Problem ; 2.2.1. Local Inversion Methods ; 2.2.2. Interval Inversion Method ; 3. GENETIC ALGORITHM OPTIMIZATION ; 4. INVERSION EXPERIMENT USING SYNTHETIC DATA ; 5. FIELD CASES. 
505 8 |a 5.1. Application to Water Prospecting 5.2. Application to Hydrocarbon Exploration ; CONCLUSION ; ACKNOWLEDGMENTS ; REFERENCES ; Chapter 4 THE PARTICLE COLLISION ALGORITHM: A METROPOLIS OPTIMIZATION METHOD ; ABSTRACT ; 1. INTRODUCTION ; 2. THE CANONICAL PCA ; Initialization Step ; Main Step ; Exploitation ; Scattering ; 3. APPLICATIONS OF THE PCA IN THE LITERAURE ; 3.1. Nuclear Engineering Problems ; 3.2. Inverse Problems ; 3.3. Course-Timetabling Problems; 4. VARIANTS OF THE PCA; 4.1. Other Local Searching Schemes ; Initialization Step ; Main Step. 
505 8 |a Deterministic Local Search Algorithm (DLSA) Scattering ; 4.2. Multiple-Particle Variants; Initialization Step ; Main Step ; Exploitation ; Scattering ; New Population; Initialization Step ; Main Step ; Exploitation; Scattering ; 4.3. Multi-Neighborhood PCA ; 5. HYBRID APPROACHES; CONCLUSION; ACKNOWLEDGMENTS ; REFERENCES ; Chapter 5 CLASSIFIER-ASSISTED FRAMEWORKS FOR COMPUTATIONALLY EXPENSIVE OPTIMIZATION PROBLEMS; Abstract; 1. Introduction; 2. Background; 2.1. Expensive optimization problems and computational intelligence algorithms; 2.2. Simulator-infeasible vectors; 3. A baseline framework. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Mathematical optimization. 
650 6 |a Optimisation mathématique. 
650 7 |a MATHEMATICS  |x Optimization.  |2 bisacsh 
650 7 |a Mathematical optimization  |2 fast 
700 1 |a Michalski, Angelika,  |e editor. 
776 0 8 |i Print version:  |t Global optimization  |d New York : Nova Publishers, [2013]  |z 9781624177965 (hardcover)  |w (DLC) 2012050351 
856 4 0 |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=608844  |z Texto completo 
938 |a YBP Library Services  |b YANK  |n 10862161 
938 |a EBSCOhost  |b EBSC  |n 608844 
938 |a ebrary  |b EBRY  |n ebr10733707 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL3022685 
994 |a 92  |b IZTAP