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CORR
2007
Springer
167views Education» more  CORR 2007»
15 years 6 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...
AIR
2005
98views more  AIR 2005»
15 years 6 months ago
Evolving Dynamic Multi-Objective Optimization Problems with Objective Replacement
This paper studies the strategies for multi-objective optimization in a dynamic environment. In particular, we focus on problems with objective replacement, where some objectives ...
Sheng Uei Guan, Qian Chen, Wenting Mo
AMAI
2005
Springer
15 years 6 months ago
A SAT approach to query optimization in mediator systems
Mediator systems integrate distributed, heterogeneous and autonomous data sources, but their e ective use requires the solution of hard query optimization problems. This is usuall...
Steven David Prestwich, Stéphane Bressan
AIR
2002
165views more  AIR 2002»
15 years 6 months ago
Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons
The rapid advances of evolutionary methods for multi-objective (MO) optimization poses the difficulty of keeping track of the developments in this field as well as selecting an app...
Kay Chen Tan, Tong Heng Lee, Eik Fun Khor
INFORMS
2000
128views more  INFORMS 2000»
15 years 6 months ago
A Revised Simplex Search Procedure for Stochastic Simulation Response Surface Optimization
We develop a variant of the Nelder-Mead (NM) simplex search procedure for stochastic simulation optimization that is designed to avoid many of the weaknesses encumbering such dire...
David G. Humphrey, James R. Wilson