SaleHardback
R D Sharma Mathematics Class IX (2016)
₹168
Save: 50%
Question Bank Physics Class 12th (2016)
₹125
Save: 50%
Evolutionary Computation
Publisher:
THE MIT PRESS
| Author:
KENNETH A DE JONG
| Language:
English
| Format:
Hardback
Publisher:
THE MIT PRESS
Author:
KENNETH A DE JONG
Language:
English
Format:
Hardback
₹1,603
Save: 50%
In stock
Ships within:
1-4 Days
In stock
As good as new (Used)
☆ ☆ ☆ ☆ ☆
☆ ☆ ☆ ☆ ☆
| Book Type | |
|---|---|
| Signs of Wear | |
| Weak Binding | |
| Pages |
Pages are crisp and clean |
| Pen/Pencil Marks |
No pen or pencil marks |
ISBN:
Page Extent:
256
Evolutionary computation involves using evolutionary systems as computational processes to tackle complex problems. It is utilized by computer scientists and engineers aiming to leverage evolution’s power to create innovative artifacts. Biologists also apply it to refine models of natural evolutionary systems, while artificial life scientists use it to design and simulate new artificial evolutionary environments.
Kenneth De Jong offers a clear and comprehensive introduction to this field, providing an integrated perspective on the current advancements in evolutionary computation. Unlike other books that focus on specific aspects like genetic algorithms, genetic programming, evolution strategies, and evolutionary programming, De Jong’s approach views these systems as specific examples of a broader class of evolutionary algorithms. This holistic overview consolidates a diverse field, making it suitable for classroom instruction and a valuable reference for computer scientists and engineers.
Description
Evolutionary computation involves using evolutionary systems as computational processes to tackle complex problems. It is utilized by computer scientists and engineers aiming to leverage evolution’s power to create innovative artifacts. Biologists also apply it to refine models of natural evolutionary systems, while artificial life scientists use it to design and simulate new artificial evolutionary environments.
Kenneth De Jong offers a clear and comprehensive introduction to this field, providing an integrated perspective on the current advancements in evolutionary computation. Unlike other books that focus on specific aspects like genetic algorithms, genetic programming, evolution strategies, and evolutionary programming, De Jong’s approach views these systems as specific examples of a broader class of evolutionary algorithms. This holistic overview consolidates a diverse field, making it suitable for classroom instruction and a valuable reference for computer scientists and engineers.
About Author
Reviews
There are no reviews yet.
[wt-related-products product_id="test001"]
Reviews
There are no reviews yet.