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» Iterative Learning Control - Monotonicity and Optimization
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TCOM
2010
102views more  TCOM 2010»
14 years 8 months ago
A system performance approach to OSNR optimization in optical networks
Abstract—This paper studies a constrained optical signal-tonoise ratio (OSNR) optimization problem in optical networks from the perspective of system performance. A system optimi...
Yan Pan, Tansu Alpcan, Lacra Pavel
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
15 years 4 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari
PERCOM
2007
ACM
15 years 9 months ago
Sensor Scheduling for Optimal Observability Using Estimation Entropy
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
Mohammad Rezaeian
SIAMJO
2011
14 years 4 months ago
Adaptive Multilevel Inexact SQP Methods for PDE-Constrained Optimization
We present a class of inexact adaptive multilevel trust-region SQP-methods for the efficient solution of optimization problems governed by nonlinear partial differential equations...
J. Carsten Ziems, Stefan Ulbrich
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 4 months ago
Self-adaptive simulated binary crossover for real-parameter optimization
Simulated binary crossover (SBX) is a real-parameter recombination operator which is commonly used in the evolutionary algorithm (EA) literature. The operator involves a parameter...
Kalyanmoy Deb, Karthik Sindhya, Tatsuya Okabe