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GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
14 years 2 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré
VLSID
2007
IEEE
206views VLSI» more  VLSID 2007»
14 years 8 months ago
MAX: A Multi Objective Memory Architecture eXploration Framework for Embedded Systems-on-Chip
Today's feature-rich multimedia products require embedded system solution with complex System-on-Chip (SoC) to meet market expectations of high performance at a low cost and l...
T. S. Rajesh Kumar, C. P. Ravikumar, R. Govindaraj...
SIGECOM
2005
ACM
105views ECommerce» more  SIGECOM 2005»
14 years 2 months ago
Towards truthful mechanisms for binary demand games: a general framework
The family of Vickrey-Clarke-Groves (VCG) mechanisms is arguably the most celebrated achievement in truthful mechanism design. However, VCG mechanisms have their limitations. They...
Ming-Yang Kao, Xiang-Yang Li, Weizhao Wang
CC
2004
Springer
14 years 1 months ago
Developing a Foundation for Code Optimization
Although optimization technology has been successful over the past 40 years, recent trends are emerging that demand we reconsider the paradigm that we are using for code optimizati...
Mary Lou Soffa