Swarm intelligence : an approach from natural to artificial / Kuldeep Singh Kaswan, Jagjit Singh Dhatterwal and Avadhesh Kumar.

By: Kaswan, Kuldeep Singh [author.]
Contributor(s): Dhatterwal, Jagjit Singh [author.] | Kumar, Avadhesh (Professor of computer science) [author.] | Ohio Library and Information Network
Series: Concise introductions to AI and data science: Publisher: Hoboken, NJ : Beverly, MA : Wiley ; Scrivener Publishing, 2023Copyright date: �2023Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781119865575; 1119865573; 9781119865568; 1119865565Subject(s): Swarm intelligenceGenre/Form: Electronic books.Additional physical formats: No titleDDC classification: 006.3/824 LOC classification: Q337.3 | .K37 2023Online resources: Connect to resource | Connect to resource | Connect to resource (off-campus) | Connect to resource
Contents:
Front Matter -- Introduction of Swarm Intelligence -- Foundation of Swarm Intelligence -- The Particle Swarm and Collective Intelligence -- Algorithm of Swarm Intelligence -- Novel Swarm Intelligence Optimization Algorithm (SIOA) -- Swarm Cyborg -- Immune-Inspired Swarm Cybernetic Systems -- Application of Swarm Intelligence -- References -- Index.
Summary: 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.
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Front Matter -- Introduction of Swarm Intelligence -- Foundation of Swarm Intelligence -- The Particle Swarm and Collective Intelligence -- Algorithm of Swarm Intelligence -- Novel Swarm Intelligence Optimization Algorithm (SIOA) -- Swarm Cyborg -- Immune-Inspired Swarm Cybernetic Systems -- Application of Swarm Intelligence -- References -- Index.

Includes bibliographical references and index.

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.

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