Swarm Intelligence
Jagjit Singh Dhatterwal, Avadhesh Kumar, Kuldeep Singh Kaswan, et al.
Naturwissenschaften, Medizin, Informatik, Technik / Informatik
Beschreibung
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.
Kundenbewertungen
Particle swarm Optimization (PSO), model-based search, shortest path, machine intelligence, simulation ant, artificial life, economic load dispatch, pheromone, refraction, Global Behavior, Ant behavior, bee summing, optimization, Swarm Behavior, Collective intelligence, IQ scale, brain storm, Cultural algorithm, Swarm Agents, binary decision, cognitive, oscillations, optimal solution, parameter selection, chip, Collective Behavior, genetic algorithm, Fish Schooling, water wave, socio-cognitive, behavior model, power constraint, propagating, IQ test, Social behavior, Optimization Method