Optimization using evolutionary algorithms and metaheuristics : (Record no. 71180)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 03836cam a2200589Mi 4500 |
001 - CONTROL NUMBER | |
control field | 9780429293030 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220711212402.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 190823s2019 flu ob 000 0 eng |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9780429293030 (electronic bk) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 0429293038 (electronic bk) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781000546804 |
-- | (electronic bk. : EPUB) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 1000546802 |
-- | (electronic bk. : EPUB) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781000541977 |
-- | (electronic bk. : Mobipocket) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 1000541975 |
-- | (electronic bk. : Mobipocket) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781000537147 |
-- | (electronic bk. : PDF) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 1000537145 |
-- | (electronic bk. : PDF) |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 620.001/5196 |
245 00 - TITLE STATEMENT | |
Title | Optimization using evolutionary algorithms and metaheuristics : |
Sub Title | applications in engineering / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | 1 online resource (pages cm.). |
490 0# - SERIES STATEMENT | |
Series statement | Science, technology, and management series |
520 ## - SUMMARY, ETC. | |
Summary, etc | Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity. This is usually applied when two or more objectives are to be optimized simultaneously. This book is presented with two major objectives. Firstly, it features chapters by eminent researchers in the field providing the readers about the current status of the subject. Secondly, algorithm-based optimization or advanced optimization techniques, which are applied to mostly non-engineering problems, are applied to engineering problems. This book will also serve as an aid to both research and industry. Usage of these methodologies would enable the improvement in engineering and manufacturing technology and support an organization in this era of low product life cycle. Features: Covers the application of recent and new algorithms Focuses on the development aspects such as including surrogate modeling, parallelization, game theory, and hybridization Presents the advances of engineering applications for both single-objective and multi-objective optimization problems Offers recent developments from a variety of engineering fields Discusses Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering |
700 1# - AUTHOR 2 | |
Author 2 | Kumar, K. |
700 1# - AUTHOR 2 | |
Author 2 | Davim, J. Paulo, |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://www.taylorfrancis.com/books/9780429293030 |
856 42 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Boca Raton : |
-- | Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, |
-- | 2019. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
588 ## - | |
-- | OCLC-licensed vendor bibliographic record. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering economy. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Mathematical optimization. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Genetic algorithms. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Metaheuristics. |
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | TECHNOLOGY / Engineering / Industrial |
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | TECHNOLOGY / Manufacturing |
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | MATHEMATICS / Probability & Statistics / General |
No items available.