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MOC
2002
120views more  MOC 2002»
15 years 3 months ago
Analysis of iterative methods for saddle point problems: a unified approach
In this paper two classes of iterative methods for saddle point problems are considered: inexact Uzawa algorithms and a class of methods with symmetric preconditioners. In both cas...
Walter Zulehner
ICPPW
2009
IEEE
15 years 10 months ago
Fast Autotuning Configurations of Parameters in Distributed Computing Systems Using Ordinal Optimization
Conventional autotuning configuration of parameters in distributed computing systems using evolutionary strategies increases integrated performance notably, though at the expense ...
Fan Zhang, Junwei Cao, Lianchen Liu, Cheng Wu
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 10 months ago
SNDL-MOEA: stored non-domination level MOEA
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...
Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilke...
APSEC
2005
IEEE
15 years 9 months ago
Simulation-based Validation and Defect Localization for Evolving, Semi-Formal Requirements Models
When requirements models are developed in an iterative and evolutionary way, requirements validation becomes a major problem. In order to detect and fix problems early, the speci...
Christian Seybold, Silvio Meier
GECCO
2005
Springer
104views Optimization» more  GECCO 2005»
15 years 9 months ago
MOEA design of robust digital symbol sets
Optimal constellation design is important in military digital communications for Quadrature Amplitude Modulation (QAM). Optimization realizes a reduced probability of bit error (P...
Richard O. Day, Abel S. Nunez, Gary B. Lamont