Journal ArticleDOI
QoS multicast routing using a quantum-behaved particle swarm optimization algorithm
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TLDR
The proposed modified quantum-behaved particle swarm optimization (QPSO) method for QoS multicast routing is converted into an integer programming problem with QoS constraints and is solved by the QPSO algorithm combined with loop deletion operation.About:
This article is published in Engineering Applications of Artificial Intelligence.The article was published on 2011-02-01. It has received 59 citations till now. The article focuses on the topics: Static routing & Destination-Sequenced Distance Vector routing.read more
Citations
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Journal ArticleDOI
Phase Angle-Encoded and Quantum-Behaved Particle Swarm Optimization Applied to Three-Dimensional Route Planning for UAV
TL;DR: Experimental results demonstrated good performance of the θ-QPSO in planning a safe and flyable path for UAV when compared with the GA, DE, and three other PSO-based algorithms.
Journal ArticleDOI
Route Planning for Unmanned Aerial Vehicle (UAV) on the Sea Using Hybrid Differential Evolution and Quantum-Behaved Particle Swarm Optimization
TL;DR: Experimental results demonstrate that the proposed method, denoted as DEQPSO, is capable of generating higher quality paths efficiently for UAV than any other tested optimization algorithms.
Journal ArticleDOI
Applications of quantum inspired computational intelligence: a survey
A. Manju,Madhav J. Nigam +1 more
TL;DR: This paper makes an exhaustive survey of various applications of Quantum inspired computational intelligence (QCI) techniques proposed till date and presents an overview on applications of QCI in solving various problems in engineering.
Journal ArticleDOI
Bio-Inspired Routing Algorithms Survey for Vehicular Ad Hoc Networks
TL;DR: A unified formal model of the bio-inspired multimodular approaches applied to VANET routing is proposed and is highlighted to highlight main future research directions in this area.
Journal ArticleDOI
Particle swarm optimization with increasing topology connectivity
Wei Hong Lim,Nor Ashidi Mat Isa +1 more
TL;DR: Results show that PSO-ITC outperforms other PSO variants and MS algorithms, has prominent searching accuracy and convergence speed in optimization and introduces a new learning framework to improve algorithm's searching performance.
References
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Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Journal ArticleDOI
The particle swarm - explosion, stability, and convergence in a multidimensional complex space
M. Clerc,James Kennedy +1 more
TL;DR: This paper analyzes a particle's trajectory as it moves in discrete time, then progresses to the view of it in continuous time, leading to a generalized model of the algorithm, containing a set of coefficients to control the system's convergence tendencies.
Proceedings ArticleDOI
The swarm and the queen: towards a deterministic and adaptive particle swarm optimization
TL;DR: A very simple particle swarm optimization iterative algorithm is presented, with just one equation and one social/confidence parameter, and the results are good enough so that it is certainly worthwhile trying the method on more complex problems.
Proceedings ArticleDOI
Particle swarm optimization with particles having quantum behavior
TL;DR: The individual particle of a PSO system moving in a quantum multidimensional space is studied and a quantum delta potential well model for PSO is established and a trial method of parameter control and QDPSO is proposed.