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224793184
20200624 Decomposition-Based Evolution Optimization Complex Environ, (Hardcover)
Item #:
224793184
BHD 49
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This book introduces the decomposition strategy and conducts a systematic study to perfect the usage of decomposition in the field of multi-objective optimization.
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Product Details
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | August, 2020 |
| Pages | 248 |
| Subgenre | Programming |
| Series title | 20200624 |
| Edition | 1 |
| Publisher | World Scientific Publishing Company |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.00 x 0.63 x 9.00 in (15.2 x 1.6 x 22.9 cm) |
| Assembled product weight | 1.1 lb (500 grams) |
| Bisac subject heading | Computers |
Product Description
20200624 Decomposition-Based Evolution Optimization Complex Environ, (Hardcover)
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Li Juan All Books Editorial Review
20200624 Decomposition-Based Evolution Optimization Complex Environ, (Hardcover) offers an engaging exploration in the realm of computing and programming. This non-fiction work, published in August 2020 by World Scientific Publishing Company, spans 248 pages and is bound as a sturdy hardcover, making it a valuable addition for anyone interested in advanced computation techniques. Readers have noted the clarity of its concepts, which greatly enhance understanding within the complex field of evolution optimization. The book also serves as part of the '20200624' series, appealing to enthusiasts looking to deepen their knowledge in programming.
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Pros
- Sturdy hardcover format enhances durability
- Covers advanced computation techniques
- Clear explanations improve understanding
- A valuable resource for programming enthusiasts
- Part of a notable series in computing
Cons
- Not suitable for beginners in programming
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Features & Benefits
- Focuses on solving multi-objective and uncertain optimization problems.
- Utilizes decomposition strategies to simplify complex challenges.
- Aims to reduce computational complexity for decision-making and scheduling.
- Offers systematic studies to enhance the application of decomposition.
- Ideal for professionals in decision-making and system design.
- Published by World Scientific Publishing Company in July 2020.
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