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» Adaptive Particle Swarm Optimization
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136
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SERA
2007
Springer
15 years 9 months ago
A Particle Swarm Social Model for Multi-Agent Based Insurgency Warfare Simulation
To better understand insurgent activities and asymmetric warfare, a social adaptive model for modeling multiple insurgent groups attacking multiple military and civilian targets i...
Xiaohui Cui, Thomas E. Potok
153
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GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
15 years 7 months ago
Understanding particle swarms through simplification: a study of recombinant PSO
Simplified forms of the particle swarm algorithm are very beneficial in contributing to understanding of what makes a PSO swarm function in the way that it does. One of these form...
Daniel Bratton, Tim Blackwell
CEC
2008
IEEE
15 years 10 months ago
A particle swarm optimizer with lifespan for global optimization on multimodal functions
—The particle swarm optimizer (PSO) is a popular computing technique of swarm intelligence, known for its fast convergence speed and easy implementation. All the particles in the...
Jun Zhang, Ying Lin
125
Voted
ISCAS
2005
IEEE
114views Hardware» more  ISCAS 2005»
15 years 9 months ago
Structured stochastic optimization strategies for problems with ill-conditioned error surfaces
—This paper compares the performance of several structured optimization strategies in adaptive signal processing problems that are characterized by ill-conditioned error surfaces...
S. Pal, Dean J. Krusienski, W. Kenneth Jenkins
138
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GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
15 years 4 months ago
Particle swarm clustering ensemble
Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recent...
Abbas Ahmadi, Fakhri Karray, Mohamed Kamel