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CEC
2008
IEEE
15 years 3 months ago
Solving large scale global optimization using improved Particle Swarm Optimizer
—As more and more real-world optimization problems become increasingly complex, algorithms with more capable optimizations are also increasing in demand. For solving large scale ...
Sheng-Ta Hsieh, Tsung-Ying Sun, Chan-Cheng Liu, Sh...
67
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ICONIP
2008
14 years 11 months ago
A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining
This paper presents a novel and notable swarm approach to evolve an optimal set of weights and architecture of a neural network for classification in data mining. In a distributed ...
Satchidananda Dehuri, Bijan Bihari Misra, Sung-Bae...
ISDA
2008
IEEE
15 years 3 months ago
Inertia-Adaptive Particle Swarm Optimizer for Improved Global Search
This paper describes a method for improving the final accuracy and the convergence speed of Particle Swarm Optimization (PSO) by adapting its inertia factor in the velocity updati...
Kaushik Suresh, Sayan Ghosh, Debarati Kundu, Abhir...
JGO
2010
121views more  JGO 2010»
14 years 8 months ago
The oracle penalty method
A new and universal penalty method is introduced in this contribution. It is especially intended to be applied in stochastic metaheuristics like genetic algorithms, particle swarm...
Martin Schlüter, Matthias Gerdts
TROB
2008
118views more  TROB 2008»
14 years 9 months ago
Connectedness Preserving Distributed Swarm Aggregation for Multiple Kinematic Robots
Abstract-- A distributed swarm aggregation algorithm is developed for a team of multiple kinematic agents. Specifically, each agent is assigned with a control law which is the sum ...
Dimos V. Dimarogonas, Kostas J. Kyriakopoulos