Results 201 to 210 of about 42,011 (261)
An efficient hybrid evolutionary optimization algorithm based on PSO and SA for clustering
Journal of Zhejiang University: Science A, 2009 The K-means algorithm is one of the most popular techniques in clustering. Nevertheless, the performance of the K-means algorithm depends highly on initial cluster centers and converges to local minima.
Taher Niknam +2 more
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Study on modified PSO algorithm
2010 Sixth International Conference on Natural Computation, 2010In order to improve the performance of the Particle Swarm Optimization (PSO) algorithm which weight was decreased linearly, a novel particle swarm optimization (NPSO) algorithm with dynamically changing inertia weight was presented. In each iteration process, the inertia weight of the improved algorithm was changed dynamically based on the current ...
Dongyun Wang, Fulin Fan
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Eurocon 2013, 2013
Nowadays there is a huge interest in developing new approaches for power system related problem solving. Generally, (meta)heuristic search methods are considered a good alternative to conventional ones. This paper aims to elaborate an original mathematical model focused on particle swarm optimization (PSO) applied for optimal power flow computing (OPF).
Petru Dan Cristian +4 more
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Nowadays there is a huge interest in developing new approaches for power system related problem solving. Generally, (meta)heuristic search methods are considered a good alternative to conventional ones. This paper aims to elaborate an original mathematical model focused on particle swarm optimization (PSO) applied for optimal power flow computing (OPF).
Petru Dan Cristian +4 more
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A verifiable PSO algorithm in cloud computing
2014 IEEE Congress on Evolutionary Computation (CEC), 2014In this paper, we study the verification problem of particle swarm optimization (PSO) when it is outsourced to the cloud, i.e. making sure that the cloud executes PSO algorithm as requested. A verifiable PSO algorithm and its verification algorithm are proposed.
Tao Xiang 0001 +2 more
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The Application of PSO Algorithm on PenduBot Control
2009 Fifth International Conference on Natural Computation, 2009Particle Swarm Optimization (PSO) algorithm is a new bionics algorithm. Because of its good characteristics, the algorithm has aroused many researchers’ interests. Most researches were centered on the control abilities of the algorithm on the strongly nonlinear and naturally unstable objects.
Shaoqiang Yuan, Dong Wang, Xingshan Li
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An Improved PSO Algorithm for Community Detection
2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2015This paper explores the field of applying particle swarm optimization (PSO) to community detection. Different kinds of particle swarm algorithms are implemented and compared. Considering the inadequacy of basic PSO for community detection, this paper proposes a binary PSO algorithm based on velocity probability and roulette strategy.
Chaotian Wu +3 more
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Improved PSO algorithms for electromagnetic optimization
2005 IEEE Antennas and Propagation Society International Symposium, 2005Some variations over the basic particle swarm algorithm are here proposed, aimed at a more efficient search over the solution space and exhibiting a negligible overhead in complexity and speed. The proposed algorithms are then applied to the test case of a microwave filter to show their superior capabilities with respect to the conventional algorithm.
MATEKOVITS L +4 more
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A Random Factor Extension on the PSO Algorithm
2014 International Conference on Identification, Information and Knowledge in the Internet of Things, 2014The particle of the PSO algorithm is lack ofparticle diversity, and this makes itself fall into thelocal extremum, which leads to the premature. Basedon a large number of experimental analysis, this paperindicated that the reason that lead to the lack of thePSO algorithm's particle diversity is that PSOalgorithm's rapid convergence and the ...
Huibin Zhang +4 more
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Hybrid ensemble PSO-GSO algorithm
2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, 2012A hybrid swarm optimization algorithm is presented which combines particle swarm optimization (PSO) with glowworm swarm optimization (GSO) and in which ensemble learning is used to synthesize the final population. PSO can converge quickly but always falls into premature problem, while GSO is easy to capture many peaks of multimodal function due to its ...
Yan Shi, Qin Wang, Huiyan Zhang
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A PSO-Based Multicast Routing Algorithm
Third International Conference on Natural Computation (ICNC 2007), 2007Multicast routing problem arises in many multimedia communication applications, computing the band-width-delay constrained least cost multicast routing tree is an NP-complete problem. In this paper, a novel multicast routing algorithm based on the particle swarm optimization (PSO) algorithm is proposed. The experimental results show that this algorithm
Ziqiang Wang, Xia Sun, Dexian Zhang
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