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AIA
2007
15 years 4 months ago
Optimizing number of hidden neurons in neural networks
In this paper, a novel and effective criterion based on the estimation of the signal-to-noise-ratio figure (SNRF) is proposed to optimize the number of hidden neurons in neural ne...
Yue Liu, Janusz A. Starzyk, Zhen Zhu
NIPS
1993
15 years 4 months ago
Optimal Stochastic Search and Adaptive Momentum
Stochastic optimization algorithms typically use learning rate schedules that behave asymptotically as (t) = 0=t. The ensemble dynamics (Leen and Moody, 1993) for such algorithms ...
Todd K. Leen, Genevieve B. Orr
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 4 months ago
iBOA: the incremental bayesian optimization algorithm
This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of t...
Martin Pelikan, Kumara Sastry, David E. Goldberg
CCE
2007
15 years 3 months ago
Generate Pareto optimal solutions of scheduling problems using normal boundary intersection technique
The problem of short-term scheduling under uncertainty is addressed in this paper through a multiobjective optimization framework that incorporates economic expectation, robustnes...
Zhenya Jia, Marianthi G. Ierapetritou
CDC
2010
IEEE
176views Control Systems» more  CDC 2010»
14 years 10 months ago
Optimal trajectories for multi robot localization
This paper considers the problem of multi robot localization. The analysis is focused on the problem of determining which are the optimal robot trajectories in order to minimize th...
Andrea Cristofaro, Agostino Martinelli