Recent Advances in Swarm Intelligence and Evolutionary Computation

This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristi...

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, 2015.
Σειρά:Studies in Computational Intelligence, 585
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Swarm Intelligence and Evolutionary Computation: Overview and Analysis
  • Globally convergent hybridization of particle swarm optimization using line search-based derivative-free techniques Fireflies in the Fruits and Vegetables: Combining the Firefly Algorithm with Goal Programming for Setting Optimal Osmotic Dehydration Parameters of Produce
  • Hybrid Metaheuristic Algorithms: Past, Present and Future
  • Binary Flower Pollination Algorithm and Its Application to Feature Selection
  • Bat Algorithm Application for the Single Row Facility Layout Problem
  • Discrete Cuckoo Search Applied to Job Shop Scheduling Problem
  • Cuckoo Search and Bat Algorithm Applied to Training Feed-Forward Neural Networks
  • The Potential of the Firefly Algorithm for Damage Localization and Stiffness Identification
  • Synthesizing Cross-Ambiguity Functions Using An Improved Bat Algorithm
  • Sustainable Building Design: A Review on Recent Metaheuristic Methods
  • Firefly Algorithm for Flow Shop Optimization
  • Evaluation of Harmony Search and Differential Evolution Optimization Algorithms on Solving the Booster Station Optimization Problems in Water Distribution Networks
  • Web Document Clustering by Using PSO-Based Cuckoo Search Clustering Algorithm
  • Analysis of Trusses Using Particle Swarm Optimization.