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ISNN
2010
Springer
15 years 21 days ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 2 months ago
Exploiting response models: optimizing cross-sell and up-sell opportunities in banking
The banking industry regularly mounts campaigns to improve customer value by offering new products to existing customers. In recent years this approach has gained significant mome...
Andrew Storey, Marc-David Cohen
102
Voted
EMO
2003
Springer
93views Optimization» more  EMO 2003»
15 years 7 months ago
Intensity Modulated Beam Radiation Therapy Dose Optimization with Multiobjective Evolutionary Algorithms
We apply the NSGA-II algorithm and its controlled elitist version NSGA-IIc for the intensity modulated beam radiotherapy dose optimization problem. We compare the performance of th...
Michael Lahanas, Eduard Schreibmann, Natasa Milick...
PDPTA
2000
15 years 3 months ago
Parallel Real-Time Cryptography: Beyond Speedup II
The primary purpose of parallel computation is the fast execution of computational tasks that are too slow to perform sequentially. However, it was shown recently that a second eq...
Selim G. Akl, Stefan D. Bruda
SIAMJO
2010
87views more  SIAMJO 2010»
15 years 19 days ago
A Second Derivative SQP Method: Global Convergence
Abstract. Sequential quadratic programming (SQP) methods form a class of highly efficient algorithms for solving nonlinearly constrained optimization problems. Although second deri...
Nicholas I. M. Gould, Daniel P. Robinson