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CEC
2007
IEEE
16 years 4 days ago
Improving generalization capability of neural networks based on simulated annealing
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
Yeejin Lee, Jong-Seok Lee, Sun-Young Lee, Cheol Ho...
ICC
2007
IEEE
16 years 3 days ago
Root Nyquist Pulses with an Energy Criterion
Abstract— The design of root-Nyquist pulses with the maximum possible energy concentration of the power spectrum is a fundamental problem is communications engineering. Since the...
Ritesh Sood, Hong Xiao
EMMCVPR
2009
Springer
16 years 10 days ago
General Search Algorithms for Energy Minimization Problems
We describe a scheme for solving Energy Minimization problems, which is based on the A∗ algorithm accomplished with appropriately chosen LP-relaxations as heuristic functions. Th...
Dmitrij Schlesinger
CORR
2007
Springer
167views Education» more  CORR 2007»
15 years 5 months ago
Optimal Solutions for Sparse Principal Component Analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...
GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
15 years 11 months ago
Artificial immune system for solving generalized geometric problems: a preliminary results
Generalized geometric programming (GGP) is an optimization method in which the objective function and constraints are nonconvex functions. Thus, a GGP problem includes multiple lo...
Jui-Yu Wu, Yun-Kung Chung