Nature-Inspired Algorithms and Applied Optimization

Name: Nature-Inspired Algorithms and Applied Optimization
Brand: Springer International Publishing AG
SKU: 9783319884653
Price: 178.62 EUR
Availability: InStock

Автор: Xin-She Yang

Език:

Корици: С меки корици

Издател: Springer International Publishing AG

Наличност: Външен склад

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This book reviews the state-of-the-art developments in nature-inspired algorithms and their applicat...

Информация за книгата

Автор

Xin-She Yang

Език

Английски език

Корици

Книга - С меки корици

Издадена

2018

страници

330

EAN

9783319884653

Enbook ID

21376211

Издател

Springer International Publishing AG

Теглоt

528

Размери

155 x 235 x 19

Пълно описание

This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.

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