Iterative optimizers : (Record no. 69064)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04762cam a2200601Ii 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1096435816 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220711203514.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190412s2019 enka ob 001 0 eng d |
| 019 ## - | |
| -- | 1097256212 |
| -- | 1097673872 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119612360 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119612365 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119612476 |
| -- | (electronic bk. ; |
| -- | oBook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119612470 |
| -- | (electronic bk. ; |
| -- | oBook) |
| 029 1# - (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000065306463 |
| 029 1# - (OCLC) | |
| OCLC library identifier | CHNEW |
| System control number | 001050902 |
| 029 1# - (OCLC) | |
| OCLC library identifier | CHVBK |
| System control number | 567422550 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 519.6 |
| 100 1# - AUTHOR NAME | |
| Author | Clerc, Maurice, |
| 245 10 - TITLE STATEMENT | |
| Title | Iterative optimizers : |
| Sub Title | difficulty measures and benchmarks / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource : |
| 490 1# - SERIES STATEMENT | |
| Series statement | Computer engineering series |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 2.7.1. Deceptive vs disappointing2.7.2. Measure consistency; 2.8. Perceived difficulty; 3. Landscape Typology; 3.1. Reliable functions, misleading and neutral; 3.1.1. Dimension D = 1; 3.2. Plateaus; 3.2.1. Dimension D = 1; 3.2.2. Dimension D = 2; 3.3. Multimodal functions; 3.3.1. Functions with single global minimum; 3.3.2. Functions with several global minima; 3.4. Unimodal functions; 4. LandGener; 4.1. Examples; 4.2. Generated files; 4.3. Regular landscape; 5. Test Cases; 5.1. Structure of a representative test case; 5.2. CEC 2005; 5.3. CEC 2011; 6. Difficulty vs Dimension |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 6.1. Rosenbrock function6.2. Griewank function; 6.3. Example of the normalized paraboloid; 6.4. Normalized bi-paraboloid; 6.5. Difficulty d0 and dimension; 7. Exploitation and Exploration vs Difficulty; 7.1. Exploitation, an incomplete definition; 7.2. Rigorous definitions; 7.3. Balance profile; 8. The Explo2 Algorithm; 8.1. The algorithm; 8.1.1. Influence of the balance profile; 8.2. Subjective numerical summary of a distribution of results; 9. Balance and Perceived Difficulty; 9.1. Constant profile-based experiments; 9.2. Calculated difficulty vs perceived difficulty; Appendix |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | A.12.1. Random sampling in a D-sphereA. 12.2. SunnySpell: potential function; A.12.3. Valuex: evaluation for a LandGener landscape; A.12.4. Multiparaboloid generation; A.13. LandGener landscapes; A.13.1. T1 deceptive; A.13.2. T2 deceptive; A.13.3. T3 deceptive; A.13.4. T4 deceptive; A.13.5. T5 deceptive; References; Index; Other titles from iSTE in Computer Engineering; EULA |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Almost every month, a new optimization algorithm is proposed, often accompanied by the claim that it is superior to all those that came before it. However, this claim is generally based on the algorithm's performance on a specific set of test cases, which are not necessarily representative of the types of problems the algorithm will face in real life. This book presents the theoretical analysis and practical methods (along with source codes) necessary to estimate the difficulty of problems in a test set, as well as to build bespoke test sets consisting of problems with varied difficulties. The book formally establishes a typology of optimization problems, from which a reliable test set can be deduced. At the same time, it highlights how classic test sets are skewed in favor of different classes of problems, and how, as a result, optimizers that have performed well on test problems may perform poorly in real life scenarios. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Applied. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Probability & Statistics |
| -- | General. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1002/9781119612476 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | London : |
| -- | ISTE Ltd. ; |
| -- | Hoboken : |
| -- | John Wiley & Sons, Inc., |
| -- | 2019. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 588 0# - | |
| -- | Online resource; title from PDF title page (EBSCO, viewed April 15, 2019). |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical optimization. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | MATHEMATICS |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | MATHEMATICS |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical optimization. |
| -- | (OCoLC)fst01012099 |
| 994 ## - | |
| -- | 92 |
| -- | DG1 |
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