Nature-Inspired Computation in Engineering

This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propa...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Yang, Xin-She (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Έκδοση:1st ed. 2016.
Σειρά:Studies in Computational Intelligence, 637
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Flower Pollination Algorithm and its Applications in Engineering
  • An Evolutionary Discrete Firefly Algorithm with Novel Operators for Solving the Vehicle Routing Problem with TimeWindows
  • The Plant Propagation Algorithm for Discrete Optimisation: The Case of the Travelling Salesman Problem
  • Enhancing Cooperative Coevolution with Surrogate-Assisted Local Search
  • Cuckoo Search: From Cuckoo Reproduction Strategy to Combinatorial Optimization
  • Clustering Optimization for WSN based on Nature-Inspired Algorithms
  • Discrete Firefly Algorithm for Recruiting Task in a Swarm of Robots
  • Nature-Inspired Swarm Intelligence for Data Fitting in Reverse Engineering: Recent Advances and FutureTrends
  • A Novel Fast Optimisation Algorithm Using Differential Evolution Algorithm Optimisation and Meta- Modelling Approach
  • A Hybridization of Runner-Based and Seed-Based Plant Propagation Algorithm
  • Gravitational Search Algorithm Applied to Cell Formation Problem
  • Parameterless Bat Algorithm and its Performace Study.