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Swarm Intelligence-based techniques can be used in a number of applications. The U.S. military is investigating swarm techniques for controlling unmanned vehicles. The European Space Agency is thinking about an orbital swarm for self-assembly and interferometry. NASA is investigating the use of swarm technology for planetary mapping.
The book by Kennedy and Eberhart [5] describes many philosophical aspects of PSO and swarm intelligence. An extensive survey of PSO applications is made by Poli . [ 6 ] [ 7 ] In 2017, a comprehensive review on theoretical and experimental works on PSO has been published by Bonyadi and Michalewicz.
Particle swarm optimization (PSO) A swarm intelligence method. Intelligent water drops (IWD) A swarm-based optimization algorithm based on natural water drops flowing in rivers Gravitational search algorithm (GSA) A swarm intelligence method. Ant colony clustering method (ACCM) A method that make use of clustering approach, extending the ACO.
The design of swarm robotics systems is guided by swarm intelligence principles, which promote fault tolerance, scalability, and flexibility. [1] Unlike distributed robotic systems in general, swarm robotics emphasizes a large number of robots. While various formulations of swarm intelligence principles exist, one widely recognized set includes:
Evolutionary computing techniques mostly involve metaheuristic optimization algorithms. Broadly speaking, the field includes: Agent-based modeling. Ant colony optimization; Particle swarm optimization; Swarm intelligence; Artificial immune systems; Artificial life. Digital organism; Cultural algorithms; Differential evolution; Dual-phase evolution
In the ABC algorithm, the first half of the swarm consists of employed bees, and the second half constitutes the onlooker bees. The number of employed bees or the onlooker bees is equal to the number of solutions in the swarm. The ABC generates a randomly distributed initial population of SN solutions (food sources), where SN denotes the swarm ...
James Kennedy (born November 5, 1950) is an American social psychologist, best known as an originator and researcher of particle swarm optimization.The first papers on the topic, by Kennedy and Russell C. Eberhart, were presented in 1995; since then tens of thousands of papers have been published on particle swarms.
Swarm-based 2008 [22] Monkey Algorithm MA Nature-inspired Bio-inspired 2008 [23] Cuckoo Search CS Nature-inspired Bio-inspired 2009 [24] Group Search Optimizer GSO Nature-inspired Swarm-based 2009 [25] Key Cutting Algorithm KCA 2009 [26] Hunting Search HS Nature-inspired Swarm-based 2009 [27] Chemical Reaction Optimization CRO Nature-inspired