Evolutionary and Swarm Intelligence Algorithms

This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number o...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Bansal, Jagdish Chand (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Singh, Pramod Kumar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Pal, Nikhil R. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Studies in Computational Intelligence, 779
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Swarm and Evolutionary Computation
  • Particle Swarm Optimization
  • Artificial Bee Colony Algorithm Variants and Its Application to Colormap Quantization
  • Spider Monkey Optimization Algorithm
  • Genetic Algorithm and Its Advances in Embracing Memetics
  • Constrained Multi-Objective Evolutionary Algorithm
  • Genetic Programming for Classification and Feature Selection
  • Genetic Programming for Job Shop Scheduling
  • Evolutionary Fuzzy Systems: A Case Study for Intrusion Detection Systems.