Nature-Inspired Algorithms and Applied Optimization

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Yang, Xin-She (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Series:Studies in Computational Intelligence, 744
Subjects:
Computational intelligence.
Artificial intelligence.
Algorithms.
Mathematical optimization.
Computational Intelligence.
Artificial Intelligence.
Optimization.
Online Access:Full-text access
Table of Contents:
  • 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.

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