Swarm Intelligence and Its Applications 2014
نویسندگان
چکیده
منابع مشابه
Swarm Intelligence and Its Applications 2014
1 School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu 210023, China 2Department of Mathematics, Anand International College of Engineering, Agra Road, Near Bassi, Jaipur, Rajasthan 303012, India 3 Ambedkar Institute of Advanced Communication Technologies and Research, Government of NCT of Delhi, Geeta Colony, Delhi 110031, India 4Department of Electrical Engin...
متن کاملSwarm Intelligence and Its Applications
1 School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu 210023, China 2Department of Mathematics, Anand International College of Engineering, Near Kanota, Agra Road, Jaipur 303012, India 3 Ambedkar Institute of Advanced Communication Technologies and Research, New Delhi, India 4Department of Electrical Engineering, Islamic Azad University, Gonabad Branch, Gonaba...
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In 1989 Gerardo Beni and Jing Wang first proposed the name ―Swarm Intelligence‖ in their paper ―Swarm Intelligence in Cellular Robotic Systems‖. Some remarkable observations of different researchers are studied in this paper, like the proximity principle, the quality principle, the principle of diverse response, the principle of stability, the principle of adaptability. To enhance the capabilit...
متن کاملSwarm Intelligence and Its Applications in Swarm Robotics
This work gives an overview of the broad field of computational swarm intelligence and its applications in swarm robotics. Computational swarm intelligence is modelled on the social behavior of animals and its principle application is as an optimization technique. Swarm robotics is a relatively new and rapidly developing field which draws inspiration from swarm intelligence. It is an interestin...
متن کاملSwarm Intelligence: Foundations, Perspectives and Applications
This chapter introduces some of the theoretical foundations of swarm intelligence. We focus on the design and implementation of the Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) algorithms for various types of function optimization problems, real world applications and data mining. Results are analyzed, discussed and their potentials are illustrated.
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ژورنال
عنوان ژورنال: The Scientific World Journal
سال: 2014
ISSN: 2356-6140,1537-744X
DOI: 10.1155/2014/204294