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Swarm intelligent algorithms focus on imitating the collective intelligence of a group of simple agents that can work together as a unit.
The simplex particle swarm optimization (Simplex-PSO) is a swarm intelligent based evolutionary computation method.
A framework for incorporating a swarm intelligent system with the Dynamic Data Driven Application System (DDDAS) is presented.
Swarm intelligent systems, or artificial swarms, self-organize into useful emergent structures that are capable of solving complex problems, but are difficult to control and predict.
In this paper, we will make a step forward by designing a swarm intelligent system that draws from two different natural swarms, bees and slime mould, to form an integrated underwater swarm robotic exploration system.
The proposed identifier integrates different soft computational strategies, i.e. neuro-fuzzy computing, fuzzy controller, swarm intelligent computing, and ensemble network design, beneficial for capturing both uncertainty and nonlinearity of the problem at hand.
Similar(47)
The artificial bee colony algorithm is a new swarm intelligence technique inspired by intelligent foraging behavior of honey bees.
Microrobotics contributes with new capabilities in manipulating objects in the microscale and in developing miniaturized intelligent machines, while swarm intelligence supplies new algorithms allowing sets of simple robotic agents to solve complex tasks.
It covers research related to autonomous agents, multi-agent systems, behavioral modeling, reinforcement learning, game theory, mechanism design, machine learning, meta-heuristic search, optimization, planning and scheduling, artificial neural networks, evolutionary computation, swarm intelligence and other algorithms for intelligent systems.
A proposed particle swarm classifier has been integrated with the concept of intelligently controlling the search process of PSO to develop an efficient swarm intelligence based classifier, which is called intelligent particle swarm classifier (IPS-classifier).
The ABC algorithm is swarm intelligence based optimization technique inspired by the intelligent foraging behavior of honeybees.
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