Regular price €164.92

Swarm Behavior

A01=Avadhesh Kumar
A01=Jagjit Singh Dhatterwal
A01=Kuldeep Singh Kaswan
Age Group_Uncategorized
Age Group_Uncategorized
Ant behavior
artificial life
Author_Avadhesh Kumar
Author_Jagjit Singh Dhatterwal
Author_Kuldeep Singh Kaswan
automatic-update
bee summing
behavior model
binary decision
brain storm
Category1=Non-Fiction
Category=TJ
Category=UYQ
chip
cognitive
Collective Behavior
Collective intelligence
COP=United States
Cultural algorithm
Delivery_Delivery within 10-20 working days
economic load dispatch
eq_computing
eq_isMigrated=2
eq_non-fiction
eq_tech-engineering
Fish Schooling
genetic algorithm
Global Behavior
IQ scale
IQ test
Language_English
machine intelligence
model-based search
optimal solution
optimization
Optimization Method
oscillations

PA=Available
parameter selection
Particle swarm Optimization (PSO)
pheromone
power constraint
Price_€100 and above
propagating
PS=Active
refraction
shortest path
simulation ant
Social behavior
socio-cognitive
softlaunch
Swarm Agents
water wave

Product details

  • ISBN 9781119865063
  • Weight: 631g
  • Publication Date: 28 Feb 2023
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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SWARM INTELLIGENCE

This important authored book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation by applying these insights to solving complex engineering problems.

Motivated by the capability of the biologically inspired algorithms, “Swarm Intelligence: An Approach from Natural to Artificial” focuses on ant, cat, crow, elephant, grasshopper, water wave and whale optimization, swarm cyborg and particle swarm optimization, and presents recent developments and applications concerning optimization with swarm intelligence techniques. The goal of the book is to offer a wide spectrum of sample works developed in leading research throughout the world about innovative methodologies of swarm intelligence and foundations of engineering swarm intelligent systems; as well as applications and interesting experiences using particle swarm optimization, which is at the heart of computational intelligence.

Discussed in the book are applications of various swarm intelligence models to operational planning of energy plants, modeling, and control of robots, organic computing, techniques of cloud services, bioinspired optimization, routing protocols for next-generation networks inspired by collective behaviors of insect societies and cybernetic organisms.

Audience

The book is directed to researchers, practicing engineers, and students in computational intelligence who are interested in enhancing their knowledge of techniques and swarm intelligence.

Kuldeep Singh Kaswan, PhD, is working in the School of Computing Science & Engineering, Galgotias University, Uttar Pradesh, India. He received his PhD in computer science from Banasthali Vidyapith, Rajasthan, and D. Engg. from Dana Brain Health Institute, Iran. His research interests are in brain-computer interface, cyborg, and data sciences.

Jagjit Singh Dhatterwal, PhD, is an associate professor in the Department of Artificial Intelligence & Data Science, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. He completed his doctorate in computer science from Mewar University, Rajasthan, India. He has numerous publications in international/national journals and conferences.

Avadhesh Kumar, PhD, is Pro Vice-Chancellor at Galgotias University, India. He obtained his doctorate in computer science with a specialization in software engineering from Thapar University, Patiala, Punjab. He has more than 22 years of teaching and research experience and has published more than 40 research papers in SCI international journals/conferences. His research areas are aspect-oriented programming (AOP), software metrics, software quality, component-based software development (CBSD), artificial intelligence, and autonomic computing.