Nature-Inspired Algorithms and Applied Optimization (eBook, PDF)

Redaktion: Yang, Xin-She

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 330
• Erscheinungstermin: 8. Oktober 2017
• Englisch
• ISBN-13: 9783319676692
• Artikelnr.: 52939836

Inhaltsangabe

Mathematical Analysis of Nature-Inspired Algorithms.- A Review of No Free Lunch Theorems, and their Implications for Metaheuristic Optimisation.- Global Convergence Analysis of Cuckoo Search Using Markov Theory.- On Effeciently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm.- Variants of the Flower Pollination Algorithm: A Review.

Rezensionen

"This book presents recent developments in nature-inspired algorithms and optimization and includes many case studies. ... The contributing authors are experts in the field from various parts of the world. This highly recommended book--a snapshot of recent research in the field of nature-inspired algorithms--would be a useful reference work for its intended audience." (S. V. Nagaraj, Computing Reviews, September, 2018)
"The book is rich with relevant illustrations and real-life/practical problems, where the various topics are or can be applied. The book is a comprehensive and in-depth study, and the style of presentation is remarkable. These aspects make reading this book an absolute delight." (Sudev Naduvath,Computing Reviews, August, 2018)