| Title:
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EVOLUTIONARY MULTI-TASK OPTIMIZATION
FOUNDATIONS AND METHODOLOGIES |
| By: |
Liang Feng |
| Format: |
Hardback |
| List price:
|
£149.99 |
| Our price: |
£131.24 |
| Discount: |
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| You save:
|
£18.75 |
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| ISBN 10: |
9811956499 |
| ISBN 13: |
9789811956492 |
| Availability: |
Usually dispatched within 1-3 weeks.
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| Stock: |
Currently 0 available |
| Publisher: |
SPRINGER VERLAG, SINGAPORE |
| Pub. date: |
30 March, 2023 |
| Edition: |
1st ed. 2023 |
| Series: |
Machine Learning: Foundations, Methodologies, and Applications |
| Pages: |
219 |
| Description: |
In contrast to traditional evolutionary searches, which solve a single task in a single run, evolutionary multi-tasking algorithm conducts searches concurrently on multiple search spaces corresponding to different tasks or optimization problems, each possessing a unique function landscape. |
| Illustrations: |
1 Illustrations, black and white; X, 219 p. 1 illus. |
| Returns: |
Returnable |