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» A New Approach to Improve Particle Swarm Optimization
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ICPR
2008
IEEE
16 years 2 months ago
Unsupervised design of Artificial Neural Networks via multi-dimensional Particle Swarm Optimization
In this paper, we present a novel and efficient approach for automatic design of Artificial Neural Networks (ANNs) by evolving to the optimal network configuration(s) within an ar...
E. Alper Yildirim, Ince Turker, Moncef Gabbouj, Se...
GECCO
2007
Springer
234views Optimization» more  GECCO 2007»
15 years 7 months ago
Applying particle swarm optimization to software testing
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
Andreas Windisch, Stefan Wappler, Joachim Wegener
CEC
2009
IEEE
15 years 8 months ago
GPU-based parallel particle swarm optimization
— A novel parallel approach to run standard particle swarm optimization (SPSO) on Graphic Processing Unit (GPU) is presented in this paper. By using the general-purpose computing...
You Zhou, Ying Tan
AWCC
2004
Springer
15 years 6 months ago
Rule Discovery with Particle Swarm Optimization
Abstract. This paper proposes Particle Swarm Optimization (PSO) algorithm to discover classification rules. The potential IF-THEN rules are encoded into real-valued particles that...
Yu Liu, Qin Zheng, Zhewen Shi, Junying Chen
ICPR
2008
IEEE
15 years 7 months ago
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
Fengqin Yang, Changhai Zhang, Tieli Sun