Nature-Inspired Computing - Swarm-Intelligence Based Algorithms

There is information processing in nature performed in a distributed, self-organized and optimal manner without any central or external control. Scientists have been observing these phenomena in nature for many years and trying to understand, explain, adapt and replicate in artificial systems. This book provides a comprehensive introduction to nature-inspired computing with an emphasis on applications to real-life engineering problems. It focuses on swarm-intelligence along with key algorithms such as ant algorithms, bat algorithms and firefly algorithms.

List of contents

Volume I: Swarm intelligence-based algorithms. Swarm intelligence. Ant algorithms. Bee algorithms. Bacterial foraging search. Bat algorithms. Cuckoo search. Firefly algorithms. Miscellaneous algorithms. Volume II: Bio-inspired algorithms. Particle swarm optimization. Flocking of birds. Fish schooling. Biogeography-based optimization. Immune system. L-system. Miscellaneous algorithms. Volume III: Physics and chemistry based algorithms. Gravitational search algorithms. Central force optimization. Spiral dynamics based optimization. Harmony search. Water-drop algorithm. Simulated annealing. Crowd dynamics. Rumor dynamics. Miscellaneous algorithms.

Product details

• Authors: Hojjat Adeli, Hojjat (The Ohio State University Adeli, Nazmul H. Siddique, Nazmul H. (University of Ulster Siddique, Siddique Nazmul H.
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 05.01.2026
• EAN: 9781482244847
• ISBN: 978-1-4822-4484-7
• No. of pages: 250
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > General, dictionaries; COMPUTERS / General, TECHNOLOGY & ENGINEERING / Electronics / General, Information technology: general issues, Electronics engineering, Information technology: general topics