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"item_title" : "Nature-Inspired Algorithms and Applied Optimization",
"item_author" : [" Xin-She Yang "],
"item_description" : "Reviews the state-of-the-art developments in nature-inspired algorithms and optimization Presents a number of theories (no-free-lunch theorems and convergence analysis) and insights into nature-inspired algorithms Introduces algorithms with an emphasis on applied optimization in real-world applications",
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Overview
Reviews the state-of-the-art developments in nature-inspired algorithms and optimization
Presents a number of theories (no-free-lunch theorems and convergence analysis) and insights into nature-inspired algorithms
Introduces algorithms with an emphasis on applied optimization in real-world applications
This item is Non-Returnable
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Details
- ISBN-13: 9783319676685
- ISBN-10: 3319676687
- Publisher: Springer
- Publish Date: October 2017
- Dimensions: 9.21 x 6.14 x 0.81 inches
- Shipping Weight: 1.45 pounds
- Page Count: 330
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